This version of the driver board is only compatible with the So-Arm robotic arm. Alternatively, it can be used to control servos or robotic arms via USB serial port when connected to edge devices such as computers, Raspberry Pi or Jetson it does NOT support driving robotic arms with ESP32 XIAO.

What’s news

• Fully compatible with the Lerobot SO-Arm robotic arm.
• Wide Compatibility: Supports ST/SC series serial bus servos, making it versatile for various robot projects.
• Flexible Control: Offers USB mode communication, allowing easy control of multiple servos.
• Professional Power Supply: Equipped with a 2P 3.5mm screw terminal for secure and reliable power connections.
• Compact Design: Measures only 42mm x 25mm, ideal for integration into space-constrained projects.

Q: How do I power the Bus Servo Driver Board?

A: Connect the power supply via the onboard 2P 3.5mm screw terminal. The input voltage range is 5-12V DC, which must match the rated voltage of the servos used and provide sufficient current to support all connected servos during operation.

Q: How do I connect servos and control devices to the board?

A: Servos are connected to the driver board via the 2.5mm 3P terminal, ensuring proper wiring (power, ground, signal lines). Control devices can be connected to a computer via the USB interface or to a microcontroller via the UART interface, with the specific mode determined by the jumper settings.

Q: How many servos can this driver board control?

A: It can control multiple ST/SC series serial bus servos, with the exact number depending on the power supply capacity and bus load conditions. Theoretically, it supports a large number of servos working together.

Imitation learning and Reinforcement learning

The LeRobot framework is compatible with the SO-ARM10x robotic arm. It provides complete data collection, training, and deployment for teaching the robotic arm, and also has a comprehensive simulation platform. On the Nvidia Jetson edge device, it’s easy and quick to train a customized robotic arm to complete grasping and placing tasks. For detailed tutorials, please refer to: LeRobot – NVIDIA Jetson AI Lab

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