🦾 reBot-DevArm: Open Source Robotic Arm for All Developers

100% Fully Open Source · Embodied AI · Hardware-Software Integration · Free for Personal/Education · Commercial Use Requires Authorization

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📖 Introduction

reBot-DevArm 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:

• 🛠️ 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.

⚠️ Note: This project is intended to promote education and personal learning. All resources are completely free for individual developers, students, and educational institutions. However, any unauthorized commercial use (including but not limited to selling kits directly or using it as part of a commercial product) is strictly prohibited.

🗺️ Roadmap & Status

We are committed to continuously maintaining and adapting to mainstream robot development ecosystems. Below is our current adaptation progress and planned release schedule:

Ecosystem	Status	Description / ETA	Documentation
Basic Motor Usage	✅ Done	Basic motion control and API encapsulation	View Docs
New Version STEP 3D Structure & BOM	🚧 In Progress	STEP files for all new parts, component BOM, and reference prices for all machined parts	[ETA 2026.02]
Assembly Video	🚧 In Progress	Ultra-detailed assembly steps and video	[ETA 2026.02]
ROS2 (Humble)	⏳ Planned	Core driver completed, optimizing MoveIt2	[ETA 2026.03]
LeRobot Adaptation	⏳ Planned	Adapting to the Hugging Face LeRobot training framework	[ETA 2026.03]
Pinocchio Adaptation	⏳ Planned	Adapting to the Pinocchio framework, implementing forward/inverse kinematics and dynamic gravity compensation	[ETA 2026.03]
Isaac Sim Simulation	⏳ Planned	Importing USD models and implementing simulation teleoperation	[ETA 2026.03]
Gradual Algorithm Updates	⏳ Planned	Gradually updating mainstream algorithms	Continuous
Launch of Fully Free Courses	⏳ Planned	Step-by-step tutorials	Continuous

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🎓 Full-Stack Robotics Ecosystem

reBot-DevArm is not just a robotic arm, but a robotics learning community. We share the following general tutorials for free:

🖥️ Edge Computing & Master Control

• —— AI Inference & Compute Core
• —— General Linux Development Environment
• —— Low-power Wireless Control Node

📡 Sensors & Peripherals

• 🚗 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)

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⚙️ Hardware Specifications

reBot-DevArm is designed for desktop Embodied AI applications, balancing payload capacity with flexibility.

Parameter	Value / Description
Payload	1.5+ kg
Max Reach	650 mm
Weight	Approx. 4.0 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

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📂 Open Source (Hardware Source)

We believe hardware open source fosters innovation. You can find everything needed to build this arm in the following directories:

• /hardware/STEP: STEP/STL files for all mechanical structures, including printed parts, metal parts, and purchased items.
• /hardware/bom: BOM List (Includes purchased component models, motor parameters, recommended vendors).
• /tutorial/ROS: Source code and tutorials for ROS1/2 Noetic/Humble.
• /tutorial/Lerobot: Source code and tutorials for LeRobot.
• /tutorial/Isaac: Source code and tutorials for Isaac Sim.

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🚀 Getting Started

We have planned a complete learning path for you, from unboxing to AI simulation:

🛠️ Phase 1: Hardware Build & Basics

Step	Description	Link
01	Basic Learning of Motors	📄 Click to View
02	Unboxing	Coming Soon
03	Assembly Guide	Coming Soon
04	Zero Calibration	Coming Soon
05	Kinematics Testing	Coming Soon

💻 Phase 2: Advanced Algorithms & Simulation

Step	Description	Link
06	ROS Ecosystem (ROS2)	🐢 Coming Soon
07	AI Training (Hugging Face)	🤗 Coming Soon
08	Simulation (NVIDIA)	🌌 Coming Soon

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🙌 References & Acknowledgments

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:

🌍 Ecosystem & Software Support

• 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.

⚙️ Core Hardware Partners

Thanks to the following manufacturers for providing high-performance motor and actuator solutions:

• Damiao Technology
• Robstride
• Fashion Star

💡 Inspiration

This project is deeply inspired by the following excellent open source projects:

• SO-ARM100
• Mobile ALOHA
• Dummy-Robot (Zhihui Jun)
• OpenArm
• I2RT
• TRLC-DK1

🎃 Prototype Contributors

• SeeedStudio AI Robotics Team's: Yaohui Zhu (yaohui.zhu@seeed.cc)
• SeeedStudio STU: Wentao Dong
• SeeedStudio STU: Weiwei Xu
• SeeedStudio Purchasing Department: Fengqun Peng

👥 Contributors

Our Top Contributors

Coming soon... Welcome to submit PRs to become a contributor!

reBot-DevArm Project License

Copyright (c) [2025] [Seeed Studio AI Robotics Team]

This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. To view a copy of this license, visit: http://creativecommons.org/licenses/by-nc-sa/4.0/

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Rights and Restrictions

1. You are free to:

   • Share: Copy and redistribute the material in any medium or format.
   • Adapt: Remix, transform, and build upon the material.

2. Under the following terms:

   • Attribution: You must give appropriate credit, provide a link to the license, and indicate if changes were made.
   • NonCommercial: You may not use the material for commercial purposes. (Including but not limited to selling related kits, selling printed parts, or integrating this software into paid products without explicit permission).
   • ShareAlike: If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.

3. Commercial Authorization: If you wish to use this project for commercial purposes, please contact the author to obtain commercial authorization. Contact: yaohui.zhu@seeed.cc