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    SR-Hover Self Balancing Robot

    The SR-Hover Self Balancing Robot from Studica Robotics is a pre-assembled, programmable WiFi robot ideal for teaching PID (Proportional–Integral–Derivative) controller skills. It includes a STM32 MCU with a Stepper Motor Driver Board, and Proportional–Integral–Derivative controller (PID).  With its built-in wifi-camera, it can be controlled using iOS/Android apps and with a PC through coding. This robot teaches more advanced robotics with an accelerometer and vision. The SR-Hover is recommended for high school and college level robotics and controls programs.

     

    MFR Part #: 73002
    $169.00
    Availability: 23 in stock

    The SR-Hover is a self-balancing robot ideal for teaching advanced robotics with an accelerometer and vision.

    Features of SR-Hover Self Balancing Robot

    • Powerful STM32 MCU with a Stepper Motor Driver Board
    • Learn how to program Proportional–Integral–Derivative (PID) controller
    • Built-in WiFi Camera
    • Capture photos with onboard HD camera
    • Equipped with (Infrared and Ultrasonic) sensors
    • Includes 2 large high precision, high torque, stepper motors
    • Control with WiFi on smart mobile devices using both iOS and Android apps and/or with coding on a PC.  
    • Includes source code so you can develop custom apps for extended learning
    • IAR compiler environment
    • I/O interface is open allowing for the capability to extend to other sensors
    • Stubbed rubber tires

     

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    The SR-Hover is a self-balancing robot ideal for teaching advanced robotics with an accelerometer and vision.

    Features of SR-Hover Self Balancing Robot

    • Powerful STM32 MCU with a Stepper Motor Driver Board
    • Learn how to program Proportional–Integral–Derivative (PID) controller
    • Built-in WiFi Camera
    • Capture photos with onboard HD camera
    • Equipped with (Infrared and Ultrasonic) sensors
    • Includes 2 large high precision, high torque, stepper motors
    • Control with WiFi on smart mobile devices using both iOS and Android apps and/or with coding on a PC.  
    • Includes source code so you can develop custom apps for extended learning
    • IAR compiler environment
    • I/O interface is open allowing for the capability to extend to other sensors
    • Stubbed rubber tires

     

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