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Mon., Aug 31, 2026 0 FTC Odometry: Getting Started with the Cypher MAX Encoder

Quick Summary: The Cypher MAX is an external encoder that can help FTC teams track robot movement for odometry and localization. Learn how external encoders and dead wheels work, why they can improve autonomous movement, and the basics of quadrature and absolute encoders.

FTC Odometry: Know Where Your Robot Is

In autonomous, knowing where your robot should be isn't enough. You need to know where it actually is. FTC odometry uses sensor data to estimate your robot's position and movement on the field, helping teams create autonomous routines that are more precise and repeatable.

Many FTC teams use the encoders built into their drive motors to estimate movement. But when wheels slip, traction changes, or a mecanum drivetrain strafes across the field, motor rotation doesn't always tell the whole story. An external encoder and tracking wheel can provide another way to measure how the robot is actually moving.

The Cypher MAX Through Bore Encoder is an external through-bore encoder that can be used with a dead wheel for odometry and robot localization, as well as applications such as mechanism position tracking and RPM measurement. Let's look at how it works and why external encoder data can be useful for FTC teams.

What Is an Encoder?

An encoder is a sensor that measures rotational movement. As a shaft or wheel rotates, the encoder converts that movement into signals that a robot controller can use to determine position, speed, distance, or direction. This information is especially valuable for autonomous routines that require precise and repeatable movement.

How Is the Cypher MAX Different from a Typical Motor Encoder?

A typical motor encoder measures the rotation of the motor shaft. The Cypher MAX is an external through-bore encoder, which means it can be mounted independently from the drive motor.

For example, an FTC team can mount the Cypher MAX to a dedicated tracking wheel, commonly called a dead wheel, to measure the actual movement of the robot rather than relying only on drivetrain motor rotation. This gives teams another source of encoder data for odometry and robot localization.

Why Use an External Encoder for FTC Odometry?

Using motor encoders to estimate drivetrain movement is a straightforward approach to localization, and it can work well. However, the rotation of a drivetrain wheel does not always perfectly represent the robot's actual movement.

This is particularly relevant for mecanum-drive robots. When a robot accelerates, decelerates, strafes, or rotates, changes in traction can cause drivetrain wheels to slip or lose contact with the field. The motor encoder continues to measure the rotation of the motor shaft, even when the robot's actual movement differs from the calculated movement.

That difference can become more noticeable when an autonomous routine needs to make precise strafing movements, navigate to multiple locations, align with field elements, or position the robot consistently for scoring. An external encoder mounted to a dedicated tracking wheel provides another way to collect movement data that is less dependent on drivetrain motor rotation.

What Is a Dead Wheel?

A dead wheel, also called a tracking wheel, is a small unpowered wheel dedicated to measuring robot movement. The wheel and encoder are often mounted together as part of an odometry pod.

Unlike a drivetrain wheel, a dead wheel does not drive the robot. Instead, it rolls along the field as the robot moves. An encoder attached to the wheel measures its rotation, providing data that can be used to estimate the robot's movement and position.

Many odometry systems use multiple tracking wheels positioned to measure movement in different directions. By combining these encoder measurements with the known positions of the tracking wheels on the robot, software can estimate forward movement, lateral movement, and changes in heading.

Dead wheels are not completely immune to error. They can still slip or lose contact with the field if the odometry pod is poorly designed.

Dead Wheel Reliability Checklist

A dead wheel can provide useful odometry data, but the mechanical setup matters. Before relying on a tracking wheel for autonomous movement, check that your odometry system is set up to provide consistent readings.

Use this checklist when designing or troubleshooting your dead wheel setup:

Maintain consistent contact with the field. The tracking wheel should stay in contact with the field as the robot moves without excessive bouncing or losing contact.
Minimize mechanical flex. Movement in the odometry pod or mounting structure can introduce inaccuracies into your encoder readings.
Properly support the encoder. Make sure the encoder and shaft are securely mounted to prevent unnecessary movement or misalignment.
Keep the tracking wheel aligned. Proper alignment helps ensure the wheel is measuring movement in the intended direction.
Reduce unnecessary vibration. Excessive vibration or movement in the mechanism can affect the consistency of your measurements.

Remember: Dead wheels are not completely immune to error. Wheel slip, inconsistent field contact, mechanical flex, and setup issues can still affect localization accuracy.

Benefits of External Encoders for FTC Teams

Using an external encoder with a dead wheel gives FTC teams another source of movement data that is less dependent on drivetrain motor rotation. This can help reduce the effects of drivetrain wheel slip on localization and support more precise and repeatable autonomous movements.

External encoders also give students an opportunity to explore how encoder data is used for odometry and robot localization, while creating a foundation for more advanced autonomous programming.

What Is the Difference Between a Quadrature Encoder and an Absolute Encoder?

Encoders can measure rotation in different ways. Two common types are quadrature encoders and absolute encoders, and the difference comes down to how they report position.

A quadrature encoder tracks changes in position as a shaft rotates. It outputs signals through its A and B channels, and the robot can interpret those signals to determine how far and in which direction the shaft has moved. The Cypher MAX also includes an index, or I, channel that provides a reference point once per revolution.

An absolute encoder works differently. It provides a position value that corresponds to the shaft's current position, rather than requiring the robot to track changes from a starting point. The position is represented by a unique output value, allowing the robot to determine the shaft's position without calculating movement from a starting point.

Feature	Quadrature Encoder	Absolute Encoder
What it measures	Changes in position as the shaft rotates	The shaft's current position
How position is determined	Counts pulses from movement starting from a reference point	Each shaft position has a unique value
Direction	A and B channel timing can be used to determine direction	Direction can be determined by comparing position readings
Channels / Output	A, B, and I (index) channels	Absolute PWM output
Resolution	2,048 counts per revolution	12-bit resolution
Reference point	I/index channel provides one reference point per revolution	No need to count from a starting position
Best for	Tracking movement, distance, and rotation	Knowing the shaft's current position

Why Does This Matter for FTC Teams?

For odometry, teams are primarily interested in measuring how much movement has occurred, which is where quadrature encoder data is useful. The robot can count encoder changes and combine that information with factors such as wheel circumference, gear ratios, and tracking wheel placement to estimate movement across the field.

Absolute position data can be useful in other situations, particularly when a robot needs to know the current position of a rotating mechanism or shaft.

The Cypher MAX provides A, B, and I quadrature outputs as well as an absolute PWM output, giving teams flexibility for odometry, mechanism position tracking, and other robotics applications.

Applications for the Cypher MAX Encoder

Odometry and robot localization are just some of the potential applications for an external encoder.

The Cypher MAX can also be used for:

Mechanism position tracking
Arms and lifts
Rotating or pivoting mechanisms
RPM measurement
General shaft position tracking

This makes an external encoder a useful tool not only for autonomous navigation but also for teaching and experimenting with different robotics applications.

Getting Started with Hardware and Software Setup

Once you understand how the encoder works, the next step is installing it and configuring your robot to read its data.

Setup at a Glance

Component	What It Does
Cypher MAX Encoder	Measures rotational movement and provides quadrature or absolute position data
FTC cable	Connects the encoder to compatible FTC hardware
Tracking wheel or mechanism	Converts movement into encoder rotation for measurement
Shaft or insert	Connects the encoder to the mechanism being measured
Mounting hardware	Keeps the encoder and tracking mechanism securely positioned

Hardware Installation

When mounting an encoder for odometry, focus on keeping the encoder properly supported, aligned, and protected from unnecessary movement or flex.

For an odometry pod, the tracking wheel should maintain consistent contact with the field while still rotating freely. A stable mechanical setup helps produce more consistent encoder readings and, ultimately, more reliable position tracking.

Example Odometry Pod

Above is an example of a simple odometry pod system. The encoder is angled so that the omni-wheel can maintain contact with the ground, while also simultaneously being housed safely. The hole pattern on the U-Channel allows for adjusting the angle of the encoder tracking wheel accordingly to ensure contact with the ground.

Odometry Example Build

This is one example of how an odometry pod can be integrated into a mecanum drivebase. The encoders are mounted on the inside of the robot's frame to protect the encoders as well as to accurate track the robot's movement about it's center of mass. Teams can modify the design to fit their own robot while keeping the same basic design principles in mind.

Software Setup

Once the hardware is installed, the general configuration process is:

Connect the encoder to compatible FTC control hardware.
Open the robot's hardware configuration.
Verify that the connected hardware is recognized.
Identify the ports being used for the external encoders.
Give the encoders appropriate names, such as encoderX and encoderY.
Read the encoder values in your robot code.
Convert encoder counts into useful movement or position data.

The exact setup will depend on the FTC hardware and software configuration being used.

Software Setup Instructions

In the configuration file, declare an unspecified motor in the port being used, and give it a name such as "cypherMax". External quadrature encoders are accessed through the corresponding motor object.

Declaring Encoder in Configuration File Cypher MAX being declared in the configuration file. Here is the example code to set up the encoder.

Setting up Encoder: At the beginning of the OpMode, reset the encoder and establish the starting encoder position as 0. Create the variables.

Creating Variables Create the following variables:

encoderCounts
revolutions
distanceMM
distancesInches

Then establish constraints.

Establish Constants Establish constants for the encoder and wheel specifications and calculate the tracking wheel's circumference.

Read the encoder.

Reading the Encoder When the OpMode begins, it will continuously read the encoders current position, then calculate the amount of revolutions. Then calculate distance.

Calculating Distance Traveled After calculating how many revolutions the tracking wheel performs, the OpMode uses the that calculation to determine how far the robot has traveled from it's starting position in millimeters and inches. Then add telemetry.

Adding Telemetry Data All the data calculated then gets displayed on the driver hub.

Here is the complete code.

Frequently Asked Questions

What is FTC odometry?

FTC odometry is the process of using sensor data, such as encoder measurements, to estimate a robot's position and movement on the field.

What is a dead wheel in FTC robotics?

A dead wheel is an unpowered wheel dedicated to measuring robot movement. As the robot moves, the wheel rotates and an encoder measures that rotation.

Why use an external encoder instead of a motor encoder?

Motor encoders measure motor rotation, which may not always perfectly represent the robot's actual movement if the drivetrain wheels slip. An external encoder connected to a tracking wheel provides another source of movement data.

What is the difference between a quadrature and absolute encoder?

A quadrature encoder measures changes in position by generating pulses as the shaft rotates. An absolute encoder provides information about the shaft's current position.

How many counts per revolution does the Cypher MAX have?

The Cypher MAX provides 2048 counts per revolution in quadrature mode.

Can the Cypher MAX be used for applications besides odometry?

Yes. External encoders can also be used for mechanism position tracking, arms, lifts, rotating mechanisms, and RPM measurement.

Do dead wheels eliminate all localization errors?

No. Dead wheels can still experience errors from slip, inconsistent contact with the field, mechanical flex, or incorrect software configuration.

What is the difference between a dead wheel and a motor encoder?

A motor encoder measures the rotation of a motor, while a dead wheel uses an unpowered tracking wheel and encoder to measure the robot's movement independently of the drivetrain.

Take Your Odometry Further

Understanding how a robot moves is an important part of building reliable autonomous routines. External encoders and dead wheels give FTC teams another way to collect movement data and explore robot localization beyond the encoders built into their drive motors.

The Cypher MAX provides a versatile external encoder option for FTC odometry, mechanism tracking, and other robotics applications. Whether your team is just learning about robot localization or working toward more precise autonomous routines, understanding encoder data is a valuable step in developing better-performing robots. Related Articles:

Thu., Aug 6, 2026 0 Make the Most of the FTC Offseason

Quick Summary: The FTC offseason gives teams valuable time to build skills, train new members, and improve their approach before the pressure of competition begins. Through programming, CAD, robot design, driver training, and team organization projects, teams can develop the experience and processes needed to design, build, program, and compete more effectively when the new season begins.

Success during the offseason isn't about building the perfect competition robot before kickoff. It's about creating a stronger foundation through learning, experimentation, and continuous improvement.

Why FTC Offseason Preparation Matters

While the competition season moves quickly, the offseason gives teams valuable time to learn, experiment, and improve without the deadlines of an upcoming tournament. Teams can use this time to strengthen technical skills, train new members, test new ideas, and create better processes for the upcoming season. Some of the biggest benefits of FTC offseason preparation include:

Focus Area	How It Helps Teams
Training new members	Gives students time to learn robotics fundamentals without competition pressure
Developing technical skills	Allows teams to improve programming, CAD, mechanical design, and building skills
Testing new ideas	Provides time to experiment with designs and technologies before they are needed
Improving organization	Helps teams create better documentation, organize files, and improve workflows
Reviewing past performance	Allows teams to identify strengths and areas for improvement

FTC Offseason Planning Roadmap

A structured approach helps teams stay focused and make the most of their offseason time.

Offseason Phase	Team Focus
Evaluate & Plan	Review the previous season, identify areas for improvement, establish goals, and organize team resources.
Strengthen Skills	Develop programming, CAD, mechanical, and driver skills through hands-on projects.
Experiment & Improve	Test new designs, explore advanced concepts, and refine robot performance.
Prepare for Kickoff	Finalize documentation, organize tools and files, and ensure the team is ready for the new season.

The goal is not simply to stay busy during the offseason. Each project should help team members develop skills that will translate into stronger performance during competition.

Tip #1: Evaluate Your Previous Season

Before starting new projects, teams should take time to reflect on the previous competition season. Understanding what worked well and what needs improvement helps teams choose meaningful offseason goals. Here are some questions to consider:

📌 Evaluating Your Previous Season Checklist

Season Evaluation Checklist	✓
What worked well?
Reliable mechanical systems	☐
Effective autonomous routines	☐
Strong driver performance	☐
Successful outreach efforts	☐
Good team communication	☐
What challenges did your team face?
Programming took longer than expected	☐
Robot reliability issues	☐
Not enough driver practice	☐
Designs were difficult to build or maintain	☐
New members needed more learning opportunities	☐
Which skills should your team focus on this offseason?
Programming	☐
CAD design	☐
Mechanical assembly	☐
Robot reliability	☐
Driver training	☐
Documentation	☐
Team organization	☐

Tip #2: Boost Programming Skills

Programming skills are one of the most valuable areas teams can develop before the season begins. Many programming concepts carry over from year to year, allowing students to build knowledge that can be applied to future robots.

🟠 Beginner Programming Projects

Beginner projects should focus on building a strong foundation with the FTC SDK.

Project	Skills Developed	Successful Outcome
TeleOp Drive Program	Gamepad controls, motor control, hardware mapping	Robot responds consistently to driver inputs
Encoder-Based Driving	Encoder feedback, motor movement control	Robot can drive specific distances or angles
Basic Sensor Integration	Using sensors and telemetry	Robot can detect and respond to sensor input

🟡 Intermediate Programming Projects

Intermediate projects help teams improve driver control, automation, and overall robot performance.

Project	Skills Developed	Successful Outcome
Field-Centric Mecanum Drive	Coordinate systems, IMU integration, driver controls	Drivers can control the robot relative to the field instead of robot orientation
Driver-Assist Features	Automation, programming logic, operator interface	Robot assists drivers with common tasks to improve consistency
Automated Scoring Positions	Presets, motors and servos, sequencing	Robot can move mechanisms to repeatable scoring positions with a single command
Heading Correction	IMU feedback, control algorithms	Robot maintains its heading while driving
Multi-Sensor Integration	Sensor fusion, telemetry, decision making	Robot combines multiple sensors to improve reliability and responsiveness

🟢 Advanced Programming Projects

Advanced projects introduce concepts commonly used by highly competitive FTC teams.

Project	Skills Developed	Successful Outcome
Odometry	Robot localization, coordinate systems, encoder calculations	Robot accurately tracks its position on the field
PID Control	Feedback control, tuning, mechanism optimization	Lifts, arms, and drive systems move smoothly and consistently
Autonomous Navigation	Path planning, coordinate-based movement, sensor-assisted navigation	Robot navigates complex autonomous paths with greater accuracy
Motion Profiling	Velocity and acceleration control, trajectory planning	Robot movements become smoother, faster, and more precise
Advanced Autonomous Routines	State machines, decision making, reusable code	Team develops a flexible autonomous framework for future seasons

Tip #3: Improve CAD Skills

CAD skills allow teams to design, test, and improve robot concepts before physically building them. Strong CAD practices can reduce mistakes, improve collaboration, and speed up robot development.

🟠 Beginner CAD Projects

These beginner CAD projects are designed to learn the software and FTC components.

Project	Skills Developed	Successful Outcome
Import FTC Component STEP Files	Working with CAD libraries, file management, component placement	Students can accurately use real FTC components in digital designs
Create Robot Assemblies	Assembly constraints, part relationships, CAD organization	Students can build complete robot models from individual components
Recreate Existing Subsystems	Measurement, reverse engineering, modeling techniques	Students can digitally recreate mechanisms to improve CAD skills
Design Simple Drivetrain Layouts	Robot geometry, spacing, component placement	Students can explore different drivetrain configurations before building
Organize CAD Files	File structure, naming conventions, team collaboration practices	Teams can maintain organized CAD files throughout the build season

🟡 Intermediate CAD Projects

These intermediate CAD projects give practice with designing and improving real mechanisms.

Project	Skills Developed	Successful Outcome
Design Custom Robot Subsystems	Mechanism design, assemblies, part relationships	Students can create functional CAD models for intakes, lifts, arms, and other robot mechanisms
Create Multiple Design Iterations	Design evaluation, prototyping, problem solving	Students can compare different concepts and select designs based on performance requirements
Build a Complete Robot Assembly	Subsystem integration, spacing, component placement	Students can combine drivetrain, mechanisms, and electronics into a complete robot model
Design for Manufacturability	Material selection, fabrication methods, hardware considerations	Students create designs that are easier to build, assemble, and maintain
Create Exploded Views and Documentation	Technical communication, assembly instructions, documentation	Teams can clearly communicate designs and support future robot builds

🟢 Advanced CAD Projects

These advanced CAD projects give your team practice engineering complete robot concepts and optimizing performance.

Project	Skills Developed	Successful Outcome
Design a Custom Drivetrain	Drivetrain geometry, mechanical tradeoffs, gear and belt systems	Students can evaluate design choices and create optimized drivetrain concepts
Compare Drivetrain Configurations	Tank drive, mecanum drive, compact vs. wide layouts	Students understand how different designs impact robot performance
Integrate Odometry	Odometry pod placement, encoder positioning, design constraints	Students can incorporate localization systems into robot designs
Optimize Electronics Routing	Component placement, accessibility, wiring considerations	Students create designs that are easier to build, maintain, and troubleshoot
Develop a Complete Robot Concept	Subsystem integration, design iteration, collaboration	Students create a complete CAD model that supports the robot development process

FTC Offseason Tip #4: Use an FTC Starter Bot to Build Skills

A Starter Bot gives teams a proven robot platform they can use to practice, experiment, and improve throughout the offseason. Instead of waiting for kickoff to begin learning, teams can build programming, CAD, mechanical, and driver skills using a robot that's ready to modify and test. 👉 Get ready with the FTC Starter Bot Build Guide from Studica Robotics.

📌 Starter Bot Challenge Ideas

Starter Bot Challenge	Skills Practiced
Create a Custom Drivetrain Solution	Mechanical design, CAD, drivetrain development
Test Field-Centric Controls	Programming, IMU integration, driver control
Integrate Odometry	Robot localization, encoder programming, autonomous navigation
Compare Different Design Approaches	Engineering design, problem solving, design evaluation
Improve Wiring and Organization	Electrical organization, maintenance, troubleshooting

Studica Robotics offers an FTC Starter Bot and FTC-compatible robot building solutions that help teams begin learning, experimenting, and building long before the next competition season starts.

Tip #5: Mechanical Design Challenges

The offseason is the perfect time to experiment with mechanical concepts, compare design options, and gain hands-on engineering experience without the pressure of competition deadlines.

📌 Mechanical Design Challenge Ideas

Design Challenge	Skills Developed	Successful Outcome
Design a Custom Intake System	Material selection, roller spacing, motor selection, mechanism design	Students understand how intake design choices affect game piece collection and overall performance.
Compare Lift Mechanisms	Mechanical design, linkage systems, linear motion, power transmission	Students evaluate different lift designs to determine the best solution for specific robot tasks.
Build Different Drivetrain Designs	Drivetrain design, mechanical assembly, performance evaluation	Students compare Tank, Mecanum, X-Drive, and Kiwi drive systems to understand their advantages and tradeoffs.

Tip #6: Strengthen Driver Performance

Consistent driver practice helps teams build confidence, improve match performance, and identify opportunities to refine both the robot and its controls before the competition season begins.

📌 Driver Practice Ideas

Practice Activity	Skills Developed	Successful Outcome
Scoring Challenges	Accuracy, consistency, robot control	Drivers improve scoring efficiency and confidence.
Field Navigation	Robot positioning, spatial awareness, maneuvering	Drivers navigate the field more efficiently during matches.
Obstacle Courses	Precision driving, control, reaction time	Drivers build confidence handling challenging situations.
Timed Tasks	Speed, decision-making, time management	Drivers complete common game actions more efficiently.
Mock Matches	Match strategy, teamwork, communication	Teams gain realistic competition experience before the season.
Endgame Strategies	Planning, timing, driver coordination	Drivers execute endgame tasks with greater consistency.

Tip #7: Improve Team Organization

The offseason is an ideal time to improve team organization and establish processes that help projects run more efficiently throughout the competition season.

📌 Team Organization Ideas

Organization Task	Benefits	Successful Outcome
Organize CAD Files	Improves collaboration and file management	Team members can quickly locate and update design files.
Document Robot Designs	Preserves design decisions and lessons learned	Future robot development becomes more efficient.
Create Programming Standards	Improves code consistency and collaboration	Programs are easier to understand, maintain, and expand.
Inventory Parts and Tools	Reduces downtime and improves planning	Teams know what components are available before the build season.
Train New Members	Builds technical knowledge and confidence	New students are prepared to contribute earlier in the season.
Plan Outreach Activities	Supports team growth and community engagement	Outreach efforts are organized and easier to execute.
Establish Team Roles	Clarifies responsibilities and improves teamwork	Team members understand their roles and work more effectively together.

Build Better Robots with Studica Robotics

Having reliable building components allows teams to spend more time designing, testing, and improving their robots. Studica Robotics provides FTC teams with affordable, competition-ready robot parts, building systems, and resources to support offseason development. The Studica Robotics building platform includes FTC-compatible structural components, motion components, electronics, hardware, and robot kits designed for classroom learning, team training, and competition use. Teams can also explore different robot designs with durable aluminum structural components available in multiple colors, including blue, green, gold, red, silver, and black. The 6061-T6 aluminum structure system provides a strong, safe, and versatile foundation for building custom robots. FTC teams can explore FTC robot parts and take advantage of resources including the FTC Starter Bot Resource Guide.

Frequently Asked Questions

What should FTC teams do during the offseason?

FTC teams should use the offseason to develop technical skills, train new members, test robot concepts, practice driving, improve documentation, and prepare team processes before the next competition season.

Should FTC teams build a competition robot during the offseason?

The goal of offseason preparation is not necessarily to build a competition-ready robot. Instead, teams should focus on learning, experimenting, and developing skills that will help them during the official season.

What programming skills should FTC teams learn?

Teams can practice programming fundamentals such as TeleOp control, sensors, encoders, autonomous routines, odometry, and PID control.

How can new FTC members prepare before the season?

New members can learn robot assembly, programming basics, CAD, driving skills, and team processes through offseason projects and Starter Bot activities.

Prepare Your FTC Team for Success Before Kickoff

The offseason provides FTC teams with a valuable opportunity to learn, experiment, and improve. Teams that invest time in skill development, testing, documentation, and organization can enter the next season with stronger technical abilities and a clearer strategy. Whether your team is training new members, exploring advanced programming concepts, improving CAD skills, or testing new robot designs, offseason preparation helps create a stronger foundation for competition success. With the right projects and resources, teams can spend less time learning the basics during the season and more time developing innovative solutions.

Mon., Jul 13, 2026 0 How to Program Field-Centric Drive for an FTC Robot

Learn how to program field-centric drive for an FTC robot using an IMU, joystick inputs, and mecanum drive equations.

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program field-centric drive

Tue., Jun 23, 2026 0 WorldSkills Jamaica Robotics Training for AMR and UAS

Quick Summary: International competitors gathered in Jamaica for a five-day robotics training camp designed to prepare them for WorldSkills Shanghai 2026. In partnership with Studica Robotics, the program focused on Autonomous Mobile Robotics (AMR) and Unmanned Aerial Systems (UAS), combining hands-on robot and drone training with real-world competition preparation. Participants progressed from system setup and assembly to programming, testing, and evaluation. The goal was to build both technical and teamwork skills needed for global competition success.

Robotics Training for WorldSkills Competition

As global demand for automation and intelligent systems continues to grow, WorldSkills Shanghai 2026 is placing a strong emphasis on advanced robotics training in Autonomous Mobile Robotics (AMR) and Unmanned Aerial Systems (UAS), where competitors must apply engineering principles in real time under international competition standards.

This type of robotics training goes beyond technical instruction; it mirrors the environments shaping modern industry, from smart manufacturing and autonomous logistics to precision agriculture, infrastructure inspection, and emergency response systems. Participants gain hands-on experience with technologies that are actively transforming how work is designed and delivered worldwide.

By working through real-world challenges in both AMR and UAS, competitors strengthen not only their technical capabilities but also their problem-solving, adaptability, and collaboration skills essential for success at WorldSkills Shanghai 2026 and beyond.

WorldSkills Jamaica Robotics Training for AMR

WorldSkills Jamaica Robotics Training for UAS

Robotics Training for WorldSkills Competition

Inside the Robotics Training Experience

The five-day training camp followed a progressive learning model that moved competitors from foundational system setup to competition-level performance in both Autonomous Mobile Robotics (AMR) and Unmanned Aerial Systems (UAS). Each phase built upon the previous one, combining technical instruction, hands-on application, and performance evaluation.

Training Phase	Activities & Outcomes
Phase 1: Foundation and Team Building	Competitors were introduced to the competition environment, assembled workstations, reviewed system components, and built connections with participants and experts from around the world.
Phase 2: Technical Immersion	Participants explored ROS2, tele-operation, SLAM, grid-based mapping, autonomous navigation, and drone control systems while integrating hardware and software components.
Phase 3: Competition Simulation	Teams applied their knowledge through autonomous navigation challenges, flight exercises, troubleshooting activities, and real-time decision-making under competition conditions.
Phase 4: Performance Optimization	Competitors refined system performance, debugged technical issues, optimized navigation and control strategies, and received coaching from international experts.
Phase 5: Evaluation and Showcase	The program concluded with system demonstrations, drone mission execution, performance assessments, and evaluations of teamwork, communication, and technical readiness.

By the end of the program, participants had progressed from assembling and configuring systems to executing autonomous navigation tasks, flying drones under performance constraints, and demonstrating the teamwork and technical proficiency required for WorldSkills competition.

Voices from the Camp

"Through international collaboration, knowledge sharing, and hands-on learning, participants are gaining valuable exposure to industry-leading practices in autonomous mobile robotics." -Walace Felipe de Almeida Oliveira, WorldSkills Brazil

“Robotics is not an activity that only men can partake in. Women can, as well, and we’re living proof of this…”
- St. Hilda’s Diocesan High School Team Captain, Toria-Lee Martin

“If you want to beat the best, you have to see how the best train.”
- Derek Murphy, General Manager, Studica Robotics

Why Train AMR?

Autonomous Mobile Robotics (AMR) is one of the fastest-growing areas in technical education and modern industry. It focuses on designing and building robots that can move and operate independently using sensors, control systems, and intelligent programming. Through AMR training, participants develop a wide range of integrated engineering skills, including mechanical and electronic system design, sensor integration, and automation. They also strengthen their ability to program autonomous systems, enabling robots to navigate, map environments, and respond to real-world conditions. AMR training also develops problem-solving and teamwork skills, reflecting the collaborative nature of real-world engineering environments.

Why is UAS Important?

Unmanned Aerial Systems (UAS) are rapidly expanding across industries and are becoming essential in areas such as infrastructure inspection, agriculture, logistics, disaster response, and environmental monitoring.

Training in UAS helps participants understand both the mechanical and digital systems behind drone technology. This includes building and configuring aerial systems, programming flight behavior, and developing the ability to troubleshoot and diagnose technical issues. As with AMR, this training strengthens critical thinking, engineering methodologies, and technical collaboration. These skills are increasingly in demand across aerospace, advanced manufacturing, infrastructure inspection, and emerging drone technology sectors.

Studica Robotics and Global Skills Development

With over 40 years of experience supporting technical education, Studica Robotics provides standardized training kits, curriculum resources, and technical support for WorldSkills member countries. For AMR competitions, teams use the official WorldSkills Autonomous Mobile Robotics Collection. For UAS training, participants utilize the WS500 Quadcopter Kit to build, program, and operate drone systems while also developing troubleshooting and diagnostic skills.

This structured ecosystem helps ensure consistent training quality while encouraging collaboration and peer learning across countries. Through its partnership with WorldSkills, Studica Robotics helps member countries develop robotics and UAS skills by providing standardized equipment, training resources, and competition support.

What This Robotics Training Experience Delivers

Beyond technical preparation, the training camp is designed to build long-term capabilities that extend well beyond the competition itself. It strengthens real-world engineering and robotics skills by providing competitors with hands-on experience with systems they will encounter in advanced technical environments. At the same time, it improves collaboration within international teams, where participants must communicate, adapt, and work effectively across different cultures and approaches.

The experience also helps develop the ability to solve complex problems under the pressures of a competition environment, where timing, accuracy, and decision-making all matter. Most importantly, it supports clear pathways into future technical careers by exposing participants to industry-relevant tools, processes, and expectations.

This training camp provided competitors with an opportunity to develop their skills in a collaborative international environment while preparing for the upcoming challenges of WorldSkills Shanghai 2026.

Frequently Asked Questions

What is Autonomous Mobile Robotics (AMR)?
AMR involves designing, building, and programming robots that operate independently using sensors, control systems, and automation logic.

What are Unmanned Aerial Systems (UAS)?
Unmanned Aerial Systems (UAS) focus on drone technology, including assembly, programming, flight control, maintenance, and system diagnostics.

Who is this WorldSkills Jamaica robotics training for?
It is designed for students and competitors preparing for international robotics competitions and technical skills development programs.

How does Studica Robotics support WorldSkills?
Studica Robotics provides standardized kits, training materials, and technical expertise to support global robotics education and competition readiness.

What is the goal of the WorldSkills Jamaica robotics training camp?
To prepare competitors for WorldSkills Shanghai 2026 through hands-on robotics and drone training under real competition conditions.

Conclusion

The WorldSkills Jamaica & Studica Robotics Invitational Training Camp demonstrated how immersive, hands-on learning can accelerate technical skill development and global competition readiness.

Over five days, competitors moved from foundational system understanding to full competition performance in Autonomous Mobile Robotics and Unmanned Aerial Systems. Beyond robotics, the camp strengthened collaboration, communication, and confidence. These skills are essential for success in both international competition and future technical careers.

As robotics, automation, and drone technologies continue reshaping global industries, programs like this are not just training events; they are launchpads for the next generation of skilled robotics professionals.

Wed., Jun 17, 2026 0 Understanding the Field-Centric Drive in FTC

Quick Summary: Field-centric drive is a control system commonly used in FTC mecanum drivetrains that keeps robot movement aligned to the field instead of the robot’s orientation. Unlike robot-centric drive, drivers do not need to mentally adjust controls when the robot rotates. This article explains what field-centric drive is, how it works, the math behind it, and common considerations teams should understand before implementing it.

What Is Field-Centric Drive?

In traditional robot-centric teleop control, robot movement is based on the robot’s orientation. The robot has a designated “front” and “back,” and the controls rotate with the robot.

For example, if the robot turns 90 degrees to the right, pushing the joystick forward causes the robot to move toward the right side of the field because the front of the robot is now facing that direction.

Field-centric drive changes this behavior by making movement relative to the field rather than the robot’s orientation. No matter which direction the robot faces, controls stay aligned to the driver’s perspective from the driver station.

Robot Orientation Diagram for Robot-Centric

Robot-Centric vs. Field-Centric Drive

Let's take a closer look at the robot-centric drive and the field-centric drive so you can understand how and when each could work best for your team.

Robot-Centric Drive

With robot-centric drive:

Pushing the joystick forward moves the robot in the direction the robot is facing
Controls rotate with the robot
Drivers must constantly account for robot orientation during movement

Robot-Centric Drive Perspective

Field-Centric Drive

With a field-centric drive:

Pushing the joystick forward always moves the robot forward relative to the field
Controls remain consistent regardless of robot orientation
Drivers can rotate the robot without mentally remapping controls

Field-Centric Drive Perspective

Why FTC Teams Use Field-Centric Drive

Field-centric drive is commonly used in FTC because it can create a more intuitive driving experience, especially with mecanum drivetrains.

Benefit	Description
Intuitive controls	Forward on the joystick always moves the robot forward relative to the field, regardless of robot rotation.
Easier navigation	Helps drivers maintain straighter paths and execute smoother strafing and diagonal movement.
Better focus on gameplay	Reduces mental load so drivers can focus on scoring and strategy instead of orientation.
Improved omnidirectional movement	Works especially well with mecanum drivetrains for full-direction movement without needing to rotate first.
Faster reaction time	Drivers respond more quickly because controls stay consistent under rotation.

However, preferred drive style still depends on driver comfort and experience.

How Field-Centric Drive Works

Field-centric drive works by using the robot's current heading from the IMU (Inertial Measurement Unit) to transform joystick inputs before they are applied to the drivetrain.

The driver still uses the same controls as a standard FTC mecanum drivetrain:

Left Joystick X → Strafing
Left Joystick Y → Forward/Backward movement
Right Joystick X → Rotation

The difference is that the translational inputs (X and Y) are adjusted using the robot's heading, while the rotational input remains unchanged. This allows movement to remain aligned with the field instead of the robot's orientation.

The process follows these general steps:

Joystick Input
↓
Read IMU Heading
↓
Apply Mecanum Equations
↓
Motor Powers

For example, if the robot turns 90 degrees, the software compensates for that change in orientation. As a result, pushing the joystick forward still moves the robot forward relative to the field, regardless of which direction the robot is facing.

Field-Centric Drive: The Math Behind the Controls

Field-centric drive works by mathematically rotating the driver's joystick input based on the robot's heading from the IMU. This allows the robot to maintain field-relative movement regardless of its orientation.

The process can be summarized in three steps:

Read joystick input (x, y)
Rotate the input using the robot heading (θ)
Apply the corrected values to the mecanum drive equations

The coordinate transformation used for field-centric control is:

x′ = x cosθ + y sinθ

y′ = y cosθ − x sinθ

Where:

x = strafe input
y = forward/backward input
θ = robot heading from the IMU
x′, y′ = corrected field-relative movement commands

These equations rotate the joystick input to compensate for robot orientation while preserving the driver's intended direction of travel.

The corrected values are then used in the mecanum drive equations:

FrontLeft = y′ + x′ + rx

BackLeft = y′ − x′ + rx

FrontRight = y′ − x′ − rx

BackRight = y′ + x′ − rx

Where rx represents the driver's rotational input.

For example, if the robot is rotated 90° and the driver pushes the joystick forward, the software adjusts the input before calculating motor power. The result is that the robot continues moving forward relative to the field, even though it is facing a different direction.

Key Considerations Before Implementing a Field-Centric Drive

Field-centric drive can improve driver performance, but it also introduces additional system complexity. Before implementing it, teams should evaluate whether their robot, software, and drivers are ready for the added requirements. Here are the key questions teams should ask themselves.

Team Readiness Checklist

Before implementing field-centric drive, confirm the following:

☐ Fully working mecanum drivetrain
☐ Motor directions tested and verified (robot moves correctly in robot-centric mode)
☐ Understanding of robot axes: forward, strafe, rotation
☐ IMU properly configured in the control system
☐ IMU calibrated with stable heading output
☐ Joystick inputs correctly mapped (no X/Y inversion issues)
☐ Consistent robot-centric control before adding field-centric logic

Common Field-Centric Setup Issues

Field-centric drive may behave incorrectly if any of the following are not configured properly:

☑️ IMU mounted in a different orientation than defined in code
☑️ Missing or inconsistent IMU calibration
☑️ Heading drift during operation
☑️ Swapped forward/back or left/right axes
☑️ Incorrect motor direction inversion
☑️ Unpredictable robot behavior when rotated

Field-Centric Drive vs Robot-Centric Drive

Both control styles are valid in FTC. The right choice depends on the team's experience, driver preferences, and software maturity.

Field-Centric Drive Pros & Cons

	Details
Pros	Intuitive control relative to the field Easier strafing and alignment during gameplay Reduces mental workload for drivers
Cons	Requires a reliable IMU and correct calibration More complex math and implementation Sensitive to sensor drift or incorrect configuration Requires occasional debugging (heading reset, telemetry checks)

Robot-Centric Drive Pros & Cons

	Details
Pros	Simpler to implement and understand Does not require IMU dependency Easier to debug and troubleshoot
Cons	Controls rotate with the robot Drivers must constantly reorient mentally More difficult to strafe precisely under rotation

Frequently Asked Questions

Do I need an IMU for field-centric drive?

Yes. Field-centric drive relies on an IMU (Inertial Measurement Unit) to determine the robot's current heading. Without heading information, the robot cannot compensate for its orientation relative to the field.

Does field-centric drive only work with mecanum wheels?

No. Field-centric control can be used with other omnidirectional drivetrains, but it is most commonly implemented in FTC mecanum drivetrains because they can move in any direction without turning first.

Is field-centric drive better than robot-centric drive?

Not necessarily. Many teams prefer field-centric controls because they are more intuitive, but robot-centric drive is simpler to implement and can be easier to troubleshoot. The best choice depends on driver preference, team experience, and robot design.

Why does my field-centric drive behave incorrectly?

Common causes include incorrect IMU orientation settings, heading drift, swapped joystick axes, incorrect motor directions, or errors in the coordinate transformation equations.

Should rookie FTC teams use field-centric drive?

Rookie teams can certainly use field-centric drive, but it is usually best to first ensure the robot drives reliably in robot-centric mode. Once the drivetrain, motor directions, and controls are working correctly, field-centric control can be added as an upgrade.

Final Thoughts

Field-centric drive is a popular control method in FTC because it allows robot movement to remain aligned with the field rather than the robot's orientation. By using an IMU to track heading and applying a simple coordinate transformation, teams can create a more intuitive driving experience that reduces the need for constant mental reorientation during matches.

While field-centric drive introduces additional software complexity and requires a properly configured IMU, many teams find the benefits worthwhile, especially when using mecanum drivetrains. Whether your team chooses field-centric or robot-centric control ultimately comes down to driver preference, experience, and what works best for your robot and game strategy.

Tue., Jun 2, 2026 0 FTC Starter Bot Build Guide: Prep for the 2026-2027 FTC Season

Use the FTC Starter Bot Build Guide to build skills in robotics design, CAD, wiring, and more for the 2026-2027 BIOBUZZ season.

Fri., May 8, 2026 0 FTC Mecanum Drive Programming Tips

Quick Summary: This article walks FTC teams through everything needed to program a mecanum drivebase using the FTC Drive Base Kit from Studica Robotics. You’ll learn how mecanum wheels work, how to configure motors in the Driver Hub, build a working TeleOp program, create a basic autonomous routine, and improve performance through tuning techniques like dead zones and input scaling. Whether you're new to FTC or refining your drivetrain, this is a practical, team-ready resource for building smoother, more precise robot control.

Mecanum Drive Programming Fundamentals

Mecanum drivetrains are one of the most powerful and flexible systems used in FTC robotics. When programmed correctly, they allow your robot to move in any direction - forward, backward, sideways, and rotationally - all independently. This article is designed to help teams using the Studica Robotics FTC Drive Base Kit, though the concepts apply to any FTC mecanum drivetrain. For this tutorial, we’ll use a mecanum drivebase built with the mecanum wheel set from Studica Robotics, along with an FTC Control Hub, Driver Hub, and a standard FTC-legal gamepad. All programming will be done in Blocks through the Control Hub’s web-based interface.

How Do Mecanum Wheels Work?

[caption id="attachment_22015" align="alignright" width="300"] Force Diagram of Mecanum Wheel[/caption] Mecanum wheels use rollers positioned at a 45° angle. Instead of pushing straight forward like traditional wheels, each wheel produces a diagonal force vector. That force can be broken into:

Fy → Forward and backward motion
Fx → Sideways (strafing) motion

A single wheel alone isn’t very useful, but when all four wheels work together, those forces combine and cancel in specific ways to create controlled movement.

Correct Mecanum Wheel Configuration

A mecanum wheel has angled rollers that create force vectors at 45 degrees. When these forces combine across four wheels, the robot can move forward, backward, sideways, or rotate. The “X” wheel configuration:

Forces cancel or combine depending on the direction of travel
Forward motion cancels sideways forces
Strafing cancels forward forces
Rotation creates torque around the robot's center

This is what makes mecanum drivetrains holonomic, allowing full directional movement without turning first.

Force Diagram of Each Wheel in a Mecanum Drivebase

X Pattern of Wheels in Mecanum Drivebase

X Pattern of Wheels in a Mecanum Drivebase

Hardware Setup (Driver Hub Configuration)

Before coding, you must configure the robot hardware in the FTC Driver Station. This tells the Control Hub which ports each electrical device, such as motors, servos, and sensors, is connected to.

Accessing the Configuration Menu

1. Power on the Control Hub and Driver Hub.

2. Open the Driver Hub and connect to the Control Hub. To get to step 3, teams would need to open the Drive Station App built into the driver hub.

3. Tap the three dots (⋮) in the top-right corner.

4. Select Configure Robot.

Create a New Configuration

1. Tap “New”

2. Select your hardware type (Control Hub) and click on the “Control Hub Portal”

3. You will see a list of available ports.

How to Assign Motors to Ports

1. Tap on a Motor Port (example: Port 0)

2. Assign each motor port to the correct motor and name each motor

3. Name the motors based on the drivetrain’s perspective (front, back, left, right). For this configuration, our motors are labeled as:

Motor Name	Port
frontLeft	0
frontRight	1
backLeft	2
backRight	3

Tip: Use consistent directional names like frontLeft, frontRight, backLeft, and backRight. This prevents confusion later in programming.

TeleOp Programming (Driver Control)

The example TeleOp program shown below uses a simple block-based structure, making it easy to map driver inputs directly to robot movement controls. The information in this section introduces the key concepts you’ll need to understand before working through the drag-and-drop version of the program.

Control Mapping and Motion

Use the following control mapping as a reference for robot movement. The left joystick controls forward/backward and strafing, while the right joystick controls rotation.

Motion	Controller Input	Axis
Forward / Backward	Left stick up / down	Y-axis
Strafe	Left stick left / right	X-axis
Rotation	Right stick left / right	Z-axis

Motor Behavior Setup

Before writing any movement logic, the drivetrain motors need to be configured so they respond correctly during operation.

Motor Direction

Because the motors on opposite sides of a mecanum drivetrain face opposite directions, one side must be reversed. This ensures that when the robot is commanded to drive forward, all four wheels spin together in the correct direction. Here is the code showing motor direction configuration, where one side of the drivetrain motors is reversed so all wheels rotate correctly for forward movement. This code determines how motors will behave when not powered.

Zero Power Behavior

Zero Power Behavior determines how the robot responds when no power is being applied. Setting this to BRAKE causes the motors to stop immediately and hold their position when the driver releases the joysticks. The drivetrain will stop immediately and try to hold its position. This provides more precise control during TeleOp. Here is the code setting drivetrain motors to BRAKE mode, causing the robot to stop immediately and resist rolling when joystick input returns to zero.

Declaring Variables

Next, create the variables that will control robot movement. These variables represent the three primary directions of the mecanum drive, along with a scaling value used to normalize motor power.

Y → Forward and backward movement
X → Side-to-side strafing movement
Z → Rotation left and right
Denominator → Scales motor powers proportionally so no value exceeds the allowed range, ensuring smooth and accurate movement

Here, the code is creating variables for mecanum drive control, including forward/backward, strafing, rotation, and motor power normalization.

Why Normalizing Motor Power Matters

When multiple joystick inputs are combined, motor power values can exceed the allowed range of -1.0 to 1.0. Normalization scales all motor values proportionally so the strongest motor runs at full power while preserving the intended direction of movement. Without normalization, motor values are clipped, which causes uneven power distribution and unpredictable motion.

Mecanum Motor Power Equations

Each wheel receives a combination of X, Y, and Z values. These equations determine how forces combine to produce omnidirectional movement.

frontLeft = Y + X + Z
backLeft = Y − X + Z
frontRight = Y − X − Z
backRight = Y + X − Z

Each value is then divided by a normalization factor when necessary.

Why This Works

Y controls forward and backward movement.
X controls sideways strafing.
Z controls rotational torque.

Because each wheel contributes differently, combining these inputs creates full omnidirectional motion.

Autonomous Programming

Before diving into the full autonomous example, it’s important first to understand the foundation of Autonomous Programming in FTC. This section begins with Initialization and Calling Functions, which set up how the robot’s motors and systems will behave before any movement starts. Defining motor behavior early ensures your autonomous runs accurately and consistently, while clearly structuring functions helps you understand what each part of your code is responsible for before putting everything together into a complete autonomous sequence.

Initialization

As previously demonstrated in the TeleOp example, set the motor direction so that the all the wheels move in the same direction to drive forward. Then set the motors so that all the wheels brake when motor power = 0

Calling Functions

For this autonomous example, each movement of the robot is separated into its own function. A function is a reusable block of code to perform a specific task. So instead of repeatedly writing the same motor commands, you can group them into a single function and call those commands whenever needed. Create the following functions below. These functions define the motor outputs to perform each movement. The “STOP” function sets all motor power to zero, ensuring the robot halts before executing the next action

Basic Autonomous Example

Autonomous code runs sequentially from top to bottom. Each block is executed in order, one after another. A simple FTC autonomous routine often begins with timed movements. Here is an example flow:

Move forward (1.5 seconds) - Here is a code example:
Stop (1 second) - Here is a code example:
Strafe right (0.5 seconds) - Here is a code example:
Stop (1 second)
Rotate left (1.5 seconds) - Here is a code example:
Stop

Improving Control and Tuning

1. Deadzone (Fix Stick Drift)

Deadzones prevent unintended motion when the joystick is near zero.

Helps eliminate drift
Improves stability at rest

Tradeoff: Too large of a deadzone can reduce fine control.

2. Input Scaling

Input scaling reduces maximum speed for better precision.

Example: 1.0 × 0.8 = 0.8
Makes the robot easier to control

Tradeoff: Lower maximum speed.

3. Strafe Compensation

Mecanum wheels are typically less efficient when moving sideways than forward. Slightly increasing the X input can improve balance between strafe and forward speed.

Troubleshooting Common Programming Issues

Here are some common issues FTC teams face when programming their mecanum chassis, along with helpful tips to fix them.

Issue	What to Check / Fix
Robot moves incorrectly	Verify the motor direction settings in the code and ensure the motors are mapped correctly.
Robot drifts	Confirm proper normalization is implemented and check wheel alignment.
Strafing doesn’t work	Ensure mecanum wheels are installed in the correct “X” pattern and motor mapping matches your code.
Motors behave inconsistently	Use telemetry to monitor joystick inputs and motor outputs in real time.

Telemetry (Your Best Debugging Tool)

Telemetry helps teams debug by showing live data from the robot while the code is running. Instead of guessing what the robot is doing internally, telemetry lets you see exactly what the robot thinks is happening in real time.

In FTC programming, you typically use telemetry during testing to compare what you expect the robot to do with what it is actually doing. If something looks wrong, telemetry helps you narrow down whether the issue is coming from the controller inputs, your code logic, or the motors themselves.

Telemetry Debugging Overview

Here are some of the most common things teams use telemetry to check:

Debug Area	What It Shows	How It Helps
Joystick inputs (X, Y, Z)	Gamepad values (-1 to 1) for each stick axis	Confirms controller inputs are being read correctly and helps identify mapping or control issues
Motor output values	Real-time power sent to each motor	Verifies drivetrain math, motor direction, and whether power is being applied correctly
Real-time robot behavior	Key variables like drive mode, speeds, or sensor data	Helps you understand what the robot is doing while running and isolate logic vs hardware issues

This is one of the most valuable debugging tools in FTC programming because it turns invisible code behavior into clear, readable information you can act on immediately.

Where Studica Robotics Fits In

The Studica Robotics FTC Drive Base Kit is designed to make mecanum programming easier by providing:

Pre-engineered drivetrain geometry
FTC-compatible motor configuration
Consistent mechanical alignment for smoother strafing
A reliable starting point for learning drivetrain programming

This allows teams to focus less on mechanical inconsistencies and more on learning core robotics concepts like kinematics, control systems, and autonomous design.

Frequently Asked Questions

What is mecanum drive in FTC? Mecanum drive is a holonomic drivetrain that allows a robot to move in any direction without turning first. Why do FTC teams use mecanum wheels? They provide full directional movement, making scoring, alignment, and positioning faster and more efficient. Why is my mecanum robot drifting? Common causes include incorrect motor direction, missing normalization, joystick drift, or mechanical misalignment. Do I need to normalize motor power? Yes. Without normalization, combined inputs can exceed motor limits and cause unpredictable movement. What is the best way to learn FTC mecanum programming? Start with TeleOp control, then add tuning features like deadzones and scaling. Once you're comfortable, move on to encoder-based autonomous routines.

Conclusion

Programming an FTC mecanum drivetrain is one of the most important skills for competitive robotics teams. Once teams understand how forces combine across all four wheels, they can unlock smooth omnidirectional movement, precise driver control, and reliable autonomous performance. With the Studica Robotics FTC Drive Base Kit, teams gain a strong mechanical foundation, allowing them to focus on what really matters: writing smarter code, improving control, and building better autonomous strategies.

Wed., Apr 22, 2026 0 The Countdown Is On for the FIRST® Championship 2026

Quick Summary: The countdown is on for the FIRST^®Championship 2026. Teams from around the world are heading to Houston for this global robotics event featuring FTC DECODE™ and FRC REBUILT™, bringing together thousands of students, mentors, and innovators. This is where the FIRST® AGE™ season comes to life.

Welcome to FIRST^®Championship 2026

The energy is building, the robots are ready, and teams are preparing for one of the most exciting events in STEM. The FIRST^® Championship 2026, presented by BAE Systems, takes place from April 29 to May 2 in Houston, Texas.

This event becomes a global hub of innovation, bringing together more than 50,000 attendees, 19,000 students, and over 1,000 teams from 66 countries. For many, this is the moment everything has been building toward: a chance to compete, connect, and celebrate a season of hard work and discovery.

Why the FIRST^® Championship Matters

The FIRST^® Championship is more than a competition; it’s a global celebration of creativity, collaboration, and the future of STEM. Students, mentors, and educators come together not just to compete, but to share ideas, learn from one another, and be part of something bigger. It’s where you see months of iteration come to life on the field, where innovative designs are pushed to their limits, and where teams discover what they’re truly capable of.

From intense matches to inspiring conversations in the pits, every moment is an opportunity to grow. It’s this combination of competition, community, and purpose that makes the FIRST^® Championship unlike anything else.

Inside the DECODE™ and REBUILT™ Challenges

This season, innovation takes center stage as teams explore the FIRST® AGE™ archaeology-inspired robotics season and push their designs further than ever.

DECODE™ challenges FIRST^® Tech Challenge (FTC) teams to investigate the power of artifacts in an archaeology-inspired game. With a focus on scoring, strategy, and teamwork, teams must shoot, manage, and adapt in a fast-paced, dynamic field. REBUILT™, on the FIRST^® Robotics Competition (FRC) side, invites teams to reimagine the past while engineering for the future. With large-scale robots and high-energy matches, precision, performance, and collaboration are key.

On-Site Support for Teams

Studica Robotics will be on-site in the FTC and FRC Robot Service Centers, working directly with teams throughout the event, helping troubleshoot, optimize, and keep robots competition-ready.

Built for STEM. Designed for Competition.

For more than 40 years, Studica has supported education and industry with technology designed to help learners build real-world skills through hands-on experience. Through its robotics division, Studica Robotics continues that mission by developing a modular building platform designed for STEM education and competitive robotics teams.

Engineered for compatibility, strength, and ease of use, Studica Robotics components are designed to integrate with common FRC and FTC ecosystems without requiring specialized tools or complex setup. The platform includes a wide range of robot parts, from structure and motion components to controllers, sensors, IMUs, motors, and navigation tools, supporting teams from early prototypes to competition-ready robots.

Key Solutions for FTC and FRC Teams

This season, several Studica Robotics solutions stand out as teams prepare for competition.

For FTC Teams

The Studica Robotics FTC Starter Kit for the 2025–2026 DECODE™ season is designed to help teams move quickly from concept to competition-ready robot. Available in six structure colors, the kit supports flexible design, rapid prototyping, and hands-on learning throughout the build season. New for this year, the kit includes 6mm HEX components and shafts, and updated Maverick HEX shaft motors with multiple planetary gearbox options, giving teams more control over drivetrain performance, torque, and mechanism design. The FTC Starter Bot, built using the Starter Kit, provides a functional baseline robot for DECODE™ gameplay. It helps teams spend less time on initial fabrication and more time on iteration, strategy, and refinement. Designed to demonstrate core tasks such as receiving and holding game pieces, moving them across the field, indexing into a mechanism, shooting toward the goal, actuating field elements, and running a basic autonomous routine, it gives teams a clear starting point for development. While fully functional, the design is intentionally a starting point, giving teams room to modify and improve based on their own strategy and ideas.

For FRC Teams

For FRC teams, consistency and control are critical. The NavX3-CAN IMU provides high-speed, accurate motion data to support reliable navigation, stable drivetrain control, and improved autonomous performance. With upgraded sensing architecture and fast CAN-FD communication for reliable, high-speed data transfer, this next-generation inertial measurement unit (IMU) helps teams maintain orientation and improve repeatability in both autonomous and teleoperated modes. When combined with a range of FRC-ready components, Studica Robotics supports teams building systems that prioritize accuracy, durability, and performance under pressure. From structural components to advanced sensors, Studica Robotics helps teams build with confidence and compete at their best.

More Than a Competition

FIRST^® is about more than robots. It’s a global community built on mentorship, innovation, and opportunity.

Through hands-on learning and team-based problem-solving, students gain the skills, confidence, and resilience to succeed, whether they pursue careers in STEM or take these experiences into entirely new paths. Programs like FIRST^®Tech Challenge and FIRST^®Robotics Competition continue to inspire the next generation of engineers, leaders, and innovators, proving year after year that the impact goes far beyond the field.

Frequently Asked Questions

What is the FIRST^® Championship 2026?
The FIRST^®Championship is the global finale of the FIRST^® season, bringing together thousands of students from around the world to compete at the highest level across four programs: FIRST® Robotics Competition (FRC), FIRST^® Tech Challenge (FTC), FIRST^® LEGO^® League Challenge, and FIRST^® LEGO^® League Explore.

When and where is the FIRST^® Championship 2026 happening?
April 29 to May 2, 2026, at the George R. Brown Convention Center in Houston, Texas.

What are FTC DECODE™ and FRC REBUILT™?
They are the 2025–2026 FIRST^® game challenges. DECODE focuses on artifact-based gameplay and strategy, while REBUILT features large-scale robot competition and alliance strategy.

Will Studica Robotics be there?
Yes, Studica Robotics will be supporting teams in the FTC and FRC Robot Service Centers.

Is the FIRST^®Championship and "FIRST^® Worlds" the same thing? Yes. “FIRST^® Worlds” is a term commonly used by teams to refer to the FIRST^® Championship, the official global event that concludes the season.

See You in Houston!

The excitement is building, and the FIRST^®Championship 2026 is set to be an unforgettable celebration of innovation, teamwork, and discovery. Whether you’re competing, mentoring, or cheering from the sidelines, this is the moment everything comes together. If you’re heading to Houston, be sure to connect with the Studica Robotics team in the FTC and FRC Robot Service Centers. We’re there to help teams stay ready, solve problems, and keep competing at their best.

Good luck, teams!

Thu., Apr 9, 2026 0 WorldSkills Shanghai 2026: Building Skills for a Changing World

Explore how WorldSkills Shanghai 2026 empowers youth through Autonomous Mobile Robotics and Unmanned Aerial Systems competitions.

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worldskills shanghai

Thu., Mar 26, 2026 0 Choosing the Right Drivetrain for Your Robot

Quick Summary: Your robot’s drivetrain determines how it moves on the field, how easy it is to control, and how well it performs during matches. For FTC teams and other robotics programs, the most common options are tank drive, mecanum drive, and other holonomic systems like X-Drive or Kiwi (A-Frame). This article breaks down the advantages, disadvantages, programming complexity, and strategic uses of each drivetrain type so teams can make informed design choices.

Understanding Drivetrains

Your robot’s drivetrain is the foundation of how it moves and interacts with the game field. Choosing the right drivetrain affects not only performance but also how easy it is to build, program, and drive during a match.

A well-designed drivetrain impacts:

Speed: How quickly your robot moves across the field.
Maneuverability: How easily it changes direction.
Traction: Grip on the game surface.
Mechanical complexity: Difficulty to build and maintain.
Driver control: Ease of operation during matches.

Tank Drive

Tank drive is one of the most common drivetrains for FTC robots, especially for beginner teams. Its straightforward design and simple control make it ideal for teams focusing on pushing power, defense, and reliability. While it doesn’t allow sideways movement (strafe), it’s durable, easy to build, and simple to program, making it beginner-friendly.

	Details
Description	Wheels on the left and right sides move independently. Forward/backward is simple; turning requires spinning one side faster.
Advantages	High traction and pushing power; simple to build and maintain; beginner-friendly; durable and reliable.
Disadvantages	Cannot strafe sideways; slower alignment with targets; less efficient for fast, precision scoring.
Best Use Cases	Pushing/defense-focused strategies; beginner teams; games prioritizing stability over speed or complex maneuvers.
Programming Complexity	Low. Direct joystick-to-motor mapping; no vector math required.

Before diving into wheel configurations, teams should consider how the number of powered wheels will affect traction, stability, and turning. Choosing the right setup can improve performance on the field without adding unnecessary complexity.

Common Tank Drive Configurations:	Examples:
2WD Tank Drive Prototype/learning platform, less traction
4WD Tank Drive Balanced, most common in FTC
6WD Tank Drive Better traction and weight distribution, slightly more complex

The FTC Starter Kit 2025–2026 from Studica Robotics gives teams everything they need to build a reliable tank drive robot. Made with precision 6061-T6 aluminum structure parts, it is durable, safe, and easy to assemble, making it ideal for beginner and intermediate teams focused on pushing power, reliability, and straightforward programming. The kit includes updated Maverick Motors with Hex Shafts, optional planetary gearboxes, and 6mm Hex components, and comes in six vibrant structure colors.

Mecanum Drivetrain

Mecanum drivetrains use four specialized wheels with angled rollers, allowing your robot to move in any direction without rotating first. This makes them highly maneuverable and ideal for scoring-focused or precision-based games. While they offer excellent alignment and cycle efficiency, they require more careful setup and programming than a tank drive.

	Details
Description	Uses four mecanum wheels with angled rollers for omnidirectional movement. Can move forward, backward, sideways, diagonally, and rotate in place.
Advantages	High maneuverability; can strafe without rotating; fast alignment with scoring targets; excellent for cycle-based scoring games.
Disadvantages	Lower traction and pushing power than tank drives; sensitive to weight distribution; moderate-to-high programming complexity (vector math required).
Best Use Cases	Scoring-focused or precision-based games; intermediate to advanced teams.
Programming Complexity	Moderate to high; requires vector math for combining forward, strafe, and rotation inputs; motor mixing needed for smooth movement.

Mecanum Drivebase Examples

✅ The FTC Drive Base Kit from Studica Robotics is a competition-ready Mecanum drivetrain designed specifically for FTC teams.

✅ Built with reliable, precision components, the FTC Drive Base Kit supports advanced autonomous paths and demanding maneuvers.

✅ The kit is available in a variety of structure colors including blue, red, black, green, silver, and gold, with D-shaft or Hex-shaft components.

Other Holonomic Options

Beyond Mecanum, there are other holonomic drivetrains that allow omnidirectional movement, meaning the robot can move in any direction without needing to rotate. X-Drive and Kiwi (A-Frame) designs are less common in FTC but offer unique advantages in maneuverability and compact design. They require more careful setup and programming than tank drives or Mecanum systems, so they’re generally used by intermediate or advanced teams.

X-Drive

X-Drive is a holonomic drivetrain with four omni-wheels mounted at 45° angles. Like Mecanum, it allows true omnidirectional movement, but with straight rollers instead of angled rollers. This makes motion smooth and predictable, though traction is lower than a tank drive.

	Details
Description	Four omni-wheels at 45° angles; moves in any direction without rotating first.
Advantages	True omnidirectional movement; smooth transitions; predictable motion.
Disadvantages	Lower traction; tricky to fit mechanically; may interfere with frame design.
Best Use Cases	Advanced maneuvering; games needing precise omnidirectional control.
Programming Complexity	Moderate to high; requires vector math and careful motor calibration.

X-Drive Examples

Kiwi (A-Frame) Drive

The Kiwi (or A-Frame) uses three omni-wheels arranged in a triangle. Each wheel contributes to all directions of movement, giving omnidirectional motion in a minimal footprint. This setup is lightweight and uses fewer motors, but stability can be an issue.

	Details
Description	Three omni-wheels in a triangular configuration; omnidirectional movement with minimal components.
Advantages	Fewer components; lightweight; efficient motor usage; true omnidirectional motion.
Disadvantages	Less stable; sensitive to weight distribution; more complex programming; requires vector math.
Best Use Cases	Compact or motor-limited robots; teams wanting true omnidirectional control in a small footprint.
Programming Complexity	Moderate to high; requires vector math; less intuitive than tank or mecanum drives.

Kiwi (A-Frame) Examples

Decision-Making Guidance

When choosing a drivetrain, teams need to balance gameplay priorities, robot complexity, and driver skill. No single drivetrain is best in every situation; what works for a pushing-heavy strategy might not be ideal for fast, precision scoring. This table provides a side-by-side comparison of tank and holonomic drivetrains across key performance priorities:

Priority	Tank Drive	Holonomic (Mecanum/X/Kiwi)
Pushing / Defense	High traction, strong grip	Lower traction, easier to be pushed
Scoring / Precision	Slower repositioning	Faster alignment, smooth cycles
Speed vs. Control	Stable at higher speeds, simple	Flexible movement, higher control ceiling
Simplicity vs. Performance	Easier to build and program	More complex, higher performance potential

Tips for FTC teams:

✅ If your robot will spend most of the match scoring and cycling, a holonomic drivetrain (mecanum/X/Kiwi) can save time and improve accuracy. If your focus is defense or straightforward, reliable play, a tank drive keeps things simple and robust.

✅ Consider your team’s experience level, game strategy, and mechanical skill when selecting a drivetrain.

✅ Use simpler tank drives for early competitions or defensive strategies.

✅ Invest in mecanum or X-Drive if your game emphasizes precision scoring or requires frequent lateral movement.

Frequently Asked Questions

Which drivetrain is easiest for beginners?
The tank drive is the simplest to build, program, and operate.

Can Mecanum drives push as well as tank drives?
No, they have less traction and lower pushing power, so they are better for scoring and maneuvering.

Are X-Drive or Kiwi drives common in FTC?
They are less common and are usually chosen for compact robots or specialized strategies.

How do I decide between 2WD, 4WD, or 6WD tank configurations?
2WD for prototypes/learning, 4WD for balanced performance (most FTC teams), 6WD for heavy or defensive robots.

What is a holonomic drivetrain? A holonomic drivetrain lets a robot move in any direction without rotating first. Examples include mecanum, X-Drive, and Kiwi drivetrains. Are there robotics kits available to create a mecanum drivetrain? Yes, FTC teams can use the FTC Drive Base Kit from Studica Robotics to build a mecanum drivetrain.

Conclusion

Choosing the right drivetrain is critical for aligning your robot’s design with your team’s strategy, skill level, and competition goals. Tank drives excel in defense and simplicity, while mecanum and other holonomic drives offer superior maneuverability and precision scoring potential.

For FTC teams, solutions like the FTC Starter Kit 2025–2026 and the FTC Drive Base Kit from Studica Robotics provide practical, high-quality options for building reliable tank or mecanum drivetrains, helping teams get up and running with proven components.