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    2026, June

    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.

    WorldSkills Jamaica Hosts Five-Day Invitational Training CamThis 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 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.

    WorldSkills Jamaica Robotics Photo A WorldSkills Jamaica Robotics Photo B WorldSkills Jamaica Robotics Photo E WorldSkills Jamaica Robotics Photo D

    Voices from the Camp

    Voices from the Robotics Training 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?

    AMR Autonomous Mobile Robotics TrainingAutonomous 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?

    Autonomous Mobile Robotics TrainingUnmanned 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

    Autonomous Mobile Robotics Training FlyingBeyond 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.

    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 Drive
    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

    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

    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.

    Field-Centric General StepsThe 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:

    1. Read joystick input (x, y)
    2. Rotate the input using the robot heading (θ)
    3. 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

    Field-Centric Drive Team Readiness ChecklistBefore 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

    Common Field-Centric Set Up IssuesField-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.

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