🚀 100% Open Source · Embodied AI · Full Hardware + Software Stack
📦 Build your own robotic arm · 🧠 Learn robotics · 🏭 Deploy real applications
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About The reBot Arm |
简体中文 | English | 日本語 | français | Español
reBot-DevArm (reBot Arm B601 DM and reBot Arm B601 RS) is a robotic arm project dedicated to lowering the barrier to learning Embodied AI. We focus on "True Open Source" — not just the code, we unreservedly open source everything:
- 🦾 Two versions of the robotic arm：We will provide all open-source files for two versions of the robotic arm with the same appearance: Robostride and Damiao.
- 🛠️ Hardware Blueprints: Source files for sheet metal parts and 3D printed parts.
- 🔩 BOM List: Detailed down to the specifications and purchase links for every single screw.
- 💻 Software & Algorithms: Python SDK, ROS1/2, Isaac Sim, LeRobot, etc.
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We offer five kit options at Seeedstudio.com :
- Arm Body Motor Kit: Includes only motors and wiring harnesses for the robotic arm.
- Arm Body Structural Kit: Includes only mechanical structural components.
- Gripper Complete Kit: Includes motors, wiring harnesses and structural components for the gripper.
- Full Kit: Includes the complete set of the robotic arm body and gripper.
- Pre‑assembled Robotic Arm: Fully assembled finished robotic arm.
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You can also purchase the Leader Arm
We are committed to continuously maintaining and adapting to mainstream robot development ecosystems. Below is our current adaptation progress and planned release schedule:
| Supported Ecosystem | Status | Description / Estimated Release Date | Related Documentation |
|---|---|---|---|
| Basic Motor Usage | ✅ Completed | Basic motion control and API encapsulation | Damiao Technology |
| Open-Sourcing of the New STEP 3D Structural Parts and BOM | ✅ Completed | STEP files for all parts in the new version, parts BOM, and reference prices for all machined components | reBot Arm B601-DM BOM |
| Reference for Real Machine Performance Testing | ✅ Completed | Performance Reference of Robotic Arm under Normal and Extreme Operating Conditions | Performance Testing |
| Assembly Video | ✅ Completed | Ultra-detailed assembly steps and video | Getting Started with reBot Arm B601-DM |
| Python SDK | ✅Continuously optimized, PRs welcome | One-stop integration of motor read/write and control for Robstride, Damiao, Mota, Gaoqing, Hexfellow and other motors. | Getting Started with Motorbridge and Web UI |
| ROS2 Integration | ✅ Completed | ROS2 integrated reBot Arm controller with support for kinematics, trajectory planning, and gravity compensation | reBot Arm B601-DM ROS2 Integration Guide |
| Pinocchio Integration | ✅ Completed | Adaptation to the Pinocchio framework, enabling forward/inverse kinematics and gravity compensation for the robotic arm | Getting Started with Pinocchio for reBot Arm B601-DM and Github repo |
| Isaac Sim Simulation | 🚧 In Progress | Import USD models and enable simulated teleoperation | [delay for add additional courses: 2026.06.20] |
| LeRobot Integration | ✅ Completed | Adaptation to the Hugging Face LeRobot training framework | Getting Started with LeRobot-based reBot Arm |
| Depth Camera Integration | ✅ Completed | Visual Grasping Demonstration Based on YOLO and Depth Camera | Getting Started with Visual Grasping Demo |
| Gradual Updates of the Latest Algorithms | ⏳ Planned | Mainstream algorithms will be updated progressively | Ongoing |
| Launch of a Series of Completely Free Courses | ⏳ Planned | Mainstream algorithms will be updated progressively | Ongoing |
| Supported Ecosystem | Status | Description / Estimated Release Date | Related Documentation |
|---|---|---|---|
| Basic Motor Usage | ✅ Completed | Basic motion control and API encapsulation | Robstride |
| Open-Sourcing of the New STEP 3D Structural Parts and BOM | 🚧 In Progress | STEP files for all parts in the new version, parts BOM, and reference prices for all machined components | Expected [2026.05] |
| Assembly Video | 🚧 In Progress | Ultra-detailed assembly steps and video | [Expected 2026.05] |
| ROS2 (Humble) | ⏳ Planned | Core drivers have been completed, and MoveIt2 is currently being optimized | [Expected 2026.05] |
| LeRobot Integration | ⏳ Planned | Adaptation to the Hugging Face LeRobot training framework | [Expected 2026.05] |
| Pinocchio Integration | ⏳ Planned | Adaptation to the Pinocchio framework, enabling forward/inverse kinematics and gravity compensation for the robotic arm | [Expected 2026.05] |
| Isaac Sim Simulation | ⏳ Planned | Import USD models and enable simulated teleoperation | [Expected 2026.05] |
| Gradual Updates of the Latest Algorithms | ⏳ Planned | Mainstream algorithms will be updated progressively | Ongoing |
| Launch of a Series of Completely Free Courses | ⏳ Planned | Mainstream algorithms will be updated progressively | Ongoing |
reBot-DevArm is designed for desktop Embodied AI applications, balancing payload capacity with flexibility.
| Parameter | reBot Arm B601-DM |
|---|---|
| Recommended Continuous Payload | Less than 1.5 kg within 70% of arm reach workspace |
| Recommended Payload | 1.5 kg |
| Max Reach | 650 mm |
| Weight | Approx. 4.5 kg |
| Repeatability | < 0.2 mm |
| Degrees of Freedom (DOF) | 6 DOF + 1 Gripper (Open source CAN servo gripper and joint motor gripper coming soon) |
| Supported Platforms/Ecosystems | ROS1, ROS2, LeRobot, Pinocchio, Isaac Sim, Python SDK |
| Supply Voltage | DC 24V |
| 32×32 UVC | Intel D435i | Intel D405 & Gemini 305 | Gemini 2 |
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| STEP | STEP | STEP | STEP |
| Star Arm 102-LD | Open to compatibility integration |
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Comming soon |
| Github repo | Comming soon |
| Soft Finger | Open to compatibility integration |
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Comming soon |
| Finger Mount(ABS/PLA) and Finger (TPU 95+) | Coming soon |
reBot-DevArm is not just a robotic arm, but a robotics learning community. We share the following general tutorials for free:
—— AI Inference & Compute Core
—— General Linux Development Environment
—— Low-power Wireless Control Node
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- 🚗 Motors & Servos: Damiao / Gogo / Robstride / Mita / Feite / Fashion Star
- 👁️ Visual Perception: Depth Cameras / LiDAR / Vision Algorithms
- 👂 Auditory Interaction: ReSpeaker Mic Arrays / Speech Recognition
- 🧭 Motion & Attitude: IMU (6-axis/9-axis) / Gyroscopes / Magnetometers
- 🤖 Comprehensive Kits: More Robotics Sensors & Driver Examples
👉 Click to Enter Wiki Knowledge Base (All tutorials are free to view)
The path of open source is never lonely. The birth of the reBot-DevArm project would not be possible without the full support of Seeed Studio, the global open source community, and excellent hardware partners. We pay our highest respects to the following projects and teams:
- Seeed Studio - Providing comprehensive hardware supply chain and technical support.
- Hugging Face LeRobot - An excellent end-to-end robot learning framework.
- NVIDIA Isaac Sim - A powerful robot simulation and synthetic data platform.
Thanks to the following manufacturers for providing high-performance motor and actuator solutions:
This project is deeply inspired by the following excellent open source projects:
- SeeedStudio AI Robotics Team's: Yaohui Zhu ([email protected])
- SeeedStudio STU: Wentao Dong
- SeeedStudio STU: Weiwei Xu
- SeeedStudio Purchasing Department: Fengqun Peng
Coming soon... Welcome to submit PRs to become a contributor!
- Hardware Design © 2026 Seeed Studio Co., Ltd. (SeeedStudio), open-sourced under CERN-OHL-W-2.0
- Firmware Code © 2026 Seeed Studio Co., Ltd. (SeeedStudio), open-sourced under Apache-2.0
Dear developers and industry experts, the reBot Arm robotic arm project has always adhered to the core philosophy of Agility, Openness, Responsibility, and Symbiosis to serve the developer community. Our vision is to enable every enthusiast to systematically master the hardware architecture and software principles of robotic arms, and to gain an immersive experience with cutting-edge embodied intelligence algorithms through the reBot project.
For the first five months since launch, the project has been using the CC BY-SA NC (Non-Commercial) open source license. The original intention was to allow all developers and contributors to focus on iterating and improving the product during its initial, less mature phase, free from commercial concerns, and to fully dedicate themselves to project co-construction and optimization.
After months of in-depth product polishing and technical refinement by Seeed Studio, effective May 11, 2026, the reBot Arm project has officially transitioned from the CC BY-SA NC license to the CERN-OHL-W 2.0 open source license.
From this point forward, the project achieves 100% full-stack open source (both hardware and software), granting full commercial compliance and usage rights for all scenarios.
We look forward to your continued participation with an inclusive and collaborative spirit, to sustain, maintain, and deepen the reBot Arm open source community, to share the fruits of open source, and together build an ecosystem for embodied intelligence.
This project uses different open source licenses for Hardware and Software. Please confirm the license terms applicable to the part you are using.
| Item / License | reBot Hardware: CERN-OHL-W-2.0 | reBot Software SDK: Apache-2.0 |
|---|---|---|
| ✅ Commercial Use Allowed | ✅ Allowed | ✅ Allowed |
| ✅ Modification Allowed | ✅ Allowed | ✅ Allowed |
| ✅ Redistribution Allowed | ✅ Allowed | ✅ Allowed |
| ✅ Closed-source Integration/Redistribution | ❌ Conditional (see CERN-OHL-W-2.0 for details) | ✅ Allowed (no need to disclose modified code) |
| ✅ Required | ✅ Required | |
| ✅ Required | ✅ Required | |
| ✅ Required (with date and description) | ✅ Required (with modification description) | |
| ✅ Explicit patent grant (see CERN-OHL-W-2.0 for details) | ✅ Explicit patent grant | |
| ✅ Must provide hardware "Complete Source" | ❌ No mandatory source provision requirement | |
| ✅ Allowed (Weakly Reciprocal feature) | ✅ Fully allowed | |
| 🔗 Relationship with Other Components/Modules | Independent interface modules (External Material) may retain original closed license | No restrictions, can link with code under any license |
| 📄 Official License Full Text | CERN-OHL-W-2.0 | Apache-2.0 |
- Open‑Source Progress & Technical Support-Yaohui: [email protected]
- Future Collaboration & Customization-Elaine: [email protected]