0 %
Seeed Studio Logo |
reBot
Open Source Initiative Logo 6+1 DoF Open-Source Arm

Build with reBot

Your First Robotics Arm

Accelerate Physical AI Deployment in Real World

High Performance & Extensive Application

Specification

Find the Right Configuration for You

reBot Arm DM Robotic Arm

reBot Arm DM

6 Joints + 1 Gripper 1.5kg Payload DAMIAO Motors
reBot Arm RS Robotic Arm

reBot Arm RS

6 Joints + 1 Gripper 2.5kg Payload RobStride Dynamics Motors
Degrees of Freedom 6 Joints + 1 Gripper
Degrees of Freedom 6 Joints + 1 Gripper
Rated Payload 1.5kg
Rated Payload 2.5kg
Max Payload 2.5kg
Max Payload 5kg
Precision ±0.2mm
Precision ±0.1mm
Reach 767mm
Reach 754mm
Motor Specs DAMIAO 4310 / 4340P
Motor Specs RobStride Dynamics 00 / 06
Construction & Finish Industrial CNC
Construction & Finish Industrial CNC
Application Scenarios Home & Domestic
Application Scenarios Lab & Light Industrial
reBot Arm Dm Home Domestic Scenario
Home & Domestic Automation
reBot Arm RS Lab Micro-Soldering Scenario
Lab / Light Industrial Scenarios

From Learning to Deployment

From Academic Embodied AI Education to Industrial Edge AI Deployment

Learning Physical AI

Collaborating with NVIDIA, Seeed provides a Sim-to-Real VLA Pipeline with Seeed reBot Arm and NVIDIA Isaac. Official hands-on curriculum bridging academic research and higher education.

19 Detailed Modules
Sim-to-Real Full Pipeline
5 Core Chapters
20+ Hours Hands-on Lab

Accelerate VLA Research

A ready-to-run experiment platform for cutting-edge Vision-Language-Action models. Seeed reBot Arm comes with compatibility and verification of today's most popular VLA baselines — so you can go from paper to real-robot evaluation in hours, not weeks.

7+ PRE-ADAPTED VLA MODELS
ACT Diffusion Policy Pi0.5 NVIDIA GR00T N1.7 LingBot-VA SmolVLA WALL-OSS ACT Diffusion Policy Pi0.5 NVIDIA GR00T N1.7 LingBot-VA SmolVLA WALL-OSS
7 Pre-Adapted VLA Models: ACT Diffusion Policy Pi0.5 NVIDIA GR00T N1.7 LingBot-VA SmolVLA WALL-OSS
LeRobot NATIVE DATA & TRAINING PIPELINE
Sim-to-Real ISAAC SIM READY
Jetson EDGE SEAMLESS INFERENCE

Massive Support for Robot Data Acquisition

Scale up your embodied AI data engine. Seeed reBot Arm turns teleoperation into training-ready datasets — native LeRobot Dataset format, multi-camera capture, checkpoint-and-resume recording, and one-click sync to Hugging Face Hub — ready to deploy across fleets, sites, and annotation teams.

LeRobot PARQUET DATASET FORMAT
3× 1080p MULTI-CAM @ 30FPS
HF Hub ONE-CLICK SYNC
VR Teleop QUEST 3 & LEADER ARM
Learning Physical AI NVIDIA DLI Course
Accelerate VLA Research Seeed reBot Arm
Massive Support for Robot Data Acquisition

Quick Sim-to-Real Experience

Interactive 3D MuJoCo Simulation in Your Browser

INITIALIZING MUJOCO 3D PHYSICS...

MuJoCo 3D Simulation

Watch reBot Arm B601-RS digital twin executing real-time 3D physics trajectories, pick-and-place tasks, and multi-camera perception.

100Hz Physics Real-time MuJoCo dynamics solver
Auto Trajectory High-precision pick & place stacking
Multi-Camera Wrist & overhead camera feeds
Sim-to-Real 1:1 Kinematic model to hardware

Developer Hub

Explore projects, tutorials, and co-creation opportunities with global developers

01 See What You Can Build

Explore real-world projects and creative builds from global developers

GEM-4 Gemma Embodied AI
GEM-4 (Kaggle)

Gemma Physical Assistance

Gemma Embodied 4 Physical Assistance AI agent built for reBot Arm.

Linyan Fu Sim2Real Policy
Linyan Fu

Sim2Real Policy Deployment

Zero-shot Sim2Real deployment and vision-guided control on reBot Arm.

Apheth D Almeida Kinematic Teleop
Apheth D Almeida

6 DoF Kinematic Teleop

Real-time inverse kinematics and teleoperation pipeline for reBot.

Dhruv Diddi Pick & Place
Dhruv Diddi

Autonomous Pick & Place

3D vision-guided autonomous pick & place manipulation demo.

Ed Henderson LeRobot Policy
Ed Henderson

LeRobot Integration

Hugging Face LeRobot policy training & deployment on reBot B601.

Binh Pham ROS 2 MoveIt
Binh Pham

ROS 2 MoveIt Pipeline

High-precision ROS 2 motion planning and trajectory execution.

FangTianChongHui Actuator Joint Motor
FangTianChongHui

Precision Actuator Control

High-torque joint motor response and precision manipulation demo.

Xense YaoLin Dong Tactile Sensor
Xense YaoLin Dong

Tactile Sensing Integration

Tactile sensor integration for adaptive force feedback grasping.

yoshikai_man Desktop Automation Workbench
yoshikai_man

Desktop Assembly Bot

Custom desktop automation & assembly workflow using reBot RS.

Li Pengdong Vertical Lift
Li Pengdong

hei-rebot-lift System

Open-source z-axis vertical lifting platform expansion for reBot.

Martin Kemka Industrial Automation
Martin Kemka

Industrial Automation AI

Integrating Physical AI models into industrial automation testbeds.

Kamil Buczyński Full Stack Robotics Lab
Kamil Buczyński

Project of the Month

Seeed Studio community project spotlight: full-stack arm control.

Daniel Dorado Spatial AI Vision
Daniel Dorado

Spatial AI & Sim2Real

Computer vision, spatial AI, and ROS 2 diagnostics integration.

Asier Arranz NVIDIA Isaac Lab GPU AI
Asier Arranz

NVIDIA Isaac Lab Physical AI

NVIDIA Isaac Lab reinforcement learning policy trained on reBot.

Ed Henderson Dual Arm Teleop
Ed Henderson

Dual Arm Teleop Demo

Dual reBot arm bilateral teleoperation & imitation learning.

GEM-4 Gemma Embodied AI
GEM-4 (Kaggle)

Gemma Physical Assistance

Gemma Embodied 4 Physical Assistance AI agent built for reBot Arm.

Linyan Fu Sim2Real Policy
Linyan Fu

Sim2Real Policy Deployment

Zero-shot Sim2Real deployment and vision-guided control on reBot Arm.

Apheth D Almeida Kinematic Teleop
Apheth D Almeida

6 DoF Kinematic Teleop

Real-time inverse kinematics and teleoperation pipeline for reBot.

Dhruv Diddi Pick & Place
Dhruv Diddi

Autonomous Pick & Place

3D vision-guided autonomous pick & place manipulation demo.

Ed Henderson LeRobot Policy
Ed Henderson

LeRobot Integration

Hugging Face LeRobot policy training & deployment on reBot B601.

02 Co-Create with Seeed

Join Seeed's global community, project calls, and partnership programs

Physical AI Project of the Month

Showcase your innovative robotics builds with Seeed reBot Arm. Win hardware grants, global community spotlights, and official co-marketing support from Seeed team.

Submit Your Project

Global Physical AI Workshop Partnership

Host a hands-on Physical AI & Embodied AI workshop at your university, lab, or hackerspace. Seeed provides reBot hardware grants, curriculum resources, and event support.

Apply for Workshop Support

Embodied AI Hackathon & Events

Join Seeed global hackathons and developer events. Explore upcoming competition calendars, challenge tracks, hardware sponsorships, and past event recaps.

Check Upcoming Events
Supported Platforms & Developer Tools
NVIDIA Logo
NVIDIA Isaac Logo
ROS 2 Logo
Hugging Face Logo
LeRobot Logo
MuJoCo Logo
MoveIt 2 Logo
Pinocchio Logo
OpenELAB Logo
Chaihuo Maker Space Logo
Agora Logo
Fab Hub Logo
MITERS Logo
Solo Logo
NVIDIA Logo
NVIDIA Isaac Logo
ROS 2 Logo
Hugging Face Logo
LeRobot Logo
MuJoCo Logo
MoveIt 2 Logo
Pinocchio Logo
OpenELAB Logo
Chaihuo Maker Space Logo
Agora Logo
Fab Hub Logo
MITERS Logo
Solo Logo
NVIDIA Logo
NVIDIA Isaac Logo
ROS 2 Logo
Hugging Face Logo
LeRobot Logo
MuJoCo Logo
MoveIt 2 Logo
Pinocchio Logo
OpenELAB Logo
Chaihuo Maker Space Logo
Agora Logo
Fab Hub Logo
MITERS Logo
Solo Logo

Complete Your AI Robotics Station

Plug-and-play accessories verified by Seeed team

Orbbec Gemini 2 3D Camera

Orbbec Gemini 2 3D Camera

$289.00
Orbbec Gemini 336 3D Camera

Orbbec Gemini 336 3D Camera

$499.00
Intel RealSense Depth Camera D435i

Intel RealSense Depth Camera D435i

$349.00
RealSense D405 3D Camera

RealSense D405 3D Camera

$299.00
ET-S231-90 USB Camera

ET-S231-90 USB Camera

$19.90
Star Arm 102 - For reBot B601-DM&RS Leader Arm

Star Arm 102 - For reBot B601-DM&RS Leader Arm

$200.00
Leader Arm Power Adapter

Leader Arm Power Adapter

$9.90
Robotic-Arm Data Collection Box

Robotic-Arm Data Collection Box

$59.00
Robot Arm Camera Mount for LeRobot SO-101 & reBot B601

Robot Arm Camera Mount for LeRobot SO-101 & reBot B601

$19.90

F & Q

Everything you need to know about reBot Arm, open-source resources, and getting started

01

What's the difference between reBot Arm DM and RS? Which one should I choose?

The DM version uses Damiao actuators (DM4310 / DM4340P) with a 1.5 kg rated payload and ±0.2 mm repeatability — ideal for beginners, education, and lightweight projects. The RS version uses RobStride actuators (00 / 06) with a 2.5 kg rated payload, ±0.1 mm repeatability, and higher torque — built for research labs and lightweight industrial automation. Not sure? Start with DM if you're learning, go with RS if you need precision and payload. Check the spec comparison table above for details.

02

Is reBot Arm fully open-source? What exactly is open?

Yes — reBot Arm is fully open-source. This includes hardware design files, firmware, ROS2 drivers, MuJoCo / Isaac Sim simulation models, and all example code. Everything is hosted on our GitHub repository. You're free to modify, customize, and build on top of it for your own projects.

03

Who is reBot Arm for? Can a beginner get started with it?

reBot Arm is designed for developers, researchers, students, and AI innovators — anyone who wants to explore physical AI and robotics. If you're new to robotics, absolutely: our Learning Physical AI course walks you from the very basics all the way to VLA model deployment, with 19 modules and 20+ hours of hands-on content.

04

What programming languages and frameworks does reBot Arm support?

reBot Arm supports Python, ROS2 Humble, and the LeRobot framework out of the box. You can control it directly from your browser via SenseCraft, write custom Python scripts, or integrate with ROS2 for more advanced workflows. It's also compatible with MuJoCo and NVIDIA Isaac Sim for simulation-to-real pipelines.

05

Which depth cameras are compatible? Do I need to buy one separately?

reBot Arm is officially tested and validated with Orbbec Gemini 2, Orbbec Gemini 336, Intel RealSense D435i, and RealSense D405. All are available as add-on accessories — see our accessories section below. You can also use your own USB camera that supports standard video capture.

06

What kind of computer do I need? Any GPU requirements?

For basic control and learning, any modern laptop will do. For AI training and VLA model deployment, we recommend a machine with an NVIDIA GPU (8GB+ VRAM), or our reComputer J3011 edge AI box for on-device deployment. And if you just want to try things out first, our browser-based MuJoCo simulator runs entirely in your browser — no local setup needed.

07

What's included in the Learning Physical AI course? Is it free with the arm?

The Learning Physical AI course is a paid program with 19 detailed modules across 5 core chapters, totaling 20+ hours of content. It covers everything from basic machine vision to building a full Sim-to-Real VLA pipeline using reBot Arm and NVIDIA Isaac. You can purchase it separately, or grab the Arm + Course bundle for a discounted price — see the course section above.

08

Are there tutorials and community support available?

Absolutely. We have comprehensive Wiki documentation with separate getting-started guides for both DM and RS editions. Our open-source community is active on GitHub, Discord, and WeChat groups. We also run a monthly project showcase and global workshop program — check out the Developer Hub to join.

09

What is sim-to-real? Can I try reBot Arm without buying the hardware first?

Sim-to-real means you can train and test your algorithms in simulation first, then deploy them directly to the real robot with minimal changes. And yes — you can try our MuJoCo simulator right in your browser for free. It's a fully interactive virtual reBot Arm. Launch the simulator to start exploring.

10

What's the shipping and warranty policy?

We ship worldwide. Orders typically ship within 3–5 business days, and delivery time depends on your location (usually 7–14 days for most countries). reBot Arm comes with a 1-year limited warranty covering manufacturing defects. If you have any issues, our support team is here to help — reach us through GitHub Issues, Discord, or our support email.