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Seeed reBot Arm B601-DM Assembled Kit with Gripper (Without Power Supply)

Seeed reBot Arm B601-DM Assembled Kit with Gripper (Without Power Supply)

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Seeed Studios, reBot Arm B601 is a “True Open Source” robotic arm designed to lower the barrier to Embodied AI learning. It fully open-sources both hardware and software, including dual arm versions (Robostride and Damiao), complete mechanical design files, a detailed BOM, and support for Python SDK, ROS1/2, Isaac Sim, and LeRobot—enabling developers, students, and educators to easily build and explore real-world robotics applications. 

** Jetson module available separately ** ask our AI team for the best option to suit your use requirements

Features:

  • Fully Open-Source: A truly 100% open-source robotic arm in terms of hardware and software. It includes BOM lists, hardware drawings, software, and algorithms—everything you need.
  • Pre-assembled reBot Arm: Out-of-the-box and ready for immediate model validation and further development.
  • High-performance motors: 4 Damiao 4310 motors + 3 Damiao4340P high-torque, low-noise motors ensure stable and precise power for the reBot Arm B601-DM.
  • Framework Compatibility: Supports mainstream robotics development frameworks such as ROS1/2, Isaac Sim, and LeRobot.
  • Constant Content Updates: As the project progresses, we will gradually update the latest algorithms and launch a series of completely free courses.

Applications:

Teleoperation & Remote Robotics Control
The reBot Arm B601 enables intuitive teleoperation for remote manipulation, data collection, and human-in-the-loop training. Combined with AI robotics frameworks like Hugging Face LeRobot, it supports datasets and pre-trained model and policies, and imitation learning workflows that translate human actions into robotic behaviors, accelerating embodied AI development.

Assistive Automation for Home Daily Tasks
The reBot Arm B601 supports the development of assistive robotics for everyday tasks, from pick-and-place to simple household automation. By combining vision and learning-based control, the robot can adapt to unstructured environments and variable objects, helping bring embodied AI into practical, human-centered scenarios.

Precision Tasks in Harsh or Constrained Environments
With ±0.2 mm repeatability and stable actuation, the B601 is suited for precise tasks in challenging or unsafe environments. Developers can prototype applications such as inspection, sample handling, or fine manipulation under constrained conditions. Its support for dynamic motion execution enables more reliable interaction with uncertain or sensitive objects. This makes it a strong platform for validating robotics solutions before scaling to industrial systems

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