​🔔 Please note: This hackathon requires a valid ticket to participate.
To join, please purchase your ticket first, then complete the event registration on this Luma page. Only participants with a valid ticket will be approved for entry.

​Build Transformers and Diffusers Powered Robots with LeRobot

​Hugging Face's LeRobot open-source framework, combined with NVIDIA AI and robotics technology, enables researchers and developers to drive advancements in AI robotics. Join our workshop at Station F in Paris, France, during GOSIM AI 2025!

​Buy your ticket to join our workshop during GOSIM! (This workshop ticket includes full access to GOSIM AI 2025, 2-day hands-on workshop, and a set of SO-ARM100 non-assembled arm kit (valued at $231.9 USD (approx. €215 EUR), including Leader+Follower, with 3D-printed skeleton included).

​Event Overview

​Explore imitation learning with the open-source SO-ARM100 robotics arm kit, which should utilize the Hugging Face LeRobot framework for advanced AI architectures like ACT and Diffusion Policy.

​​Calling developers, engineers, and robotics enthusiasts eager to explore advanced AI and robotics.

• ​​Check out the whole journey of our Embodied AI hackathons’ highlights.

• ​​Check out our wiki documentation.

• ​​Check out the SO-ARM100 Kit to start building your own robot arm.

​Hands-on Experience in This Workshop Includes:

• ​​Working with the SO-ARM100, a powerful 6DoF robotics arm designed for quick assembly(Seeed’s team will assemble the robot arms for you in advance), synchronized teaching tasks, and seamless integration with Hugging Face's LeRobot platform.

• ​​Collecting data through teleoperation in a real environment/simulation in NVIDIA Isaac Lab.

• ​​Training robot policies with imitation learning and deploying validated policies on real-world robots powered by NVIDIA Jetson for real-time inference.

​Workshop Workflow

​​The planned collaborative workflow involves collecting data through teleoperation (normally, 20 episodes with 50 images in each round could be a basic level; you can optimize the performance by collecting more data) and simulation in Isaac Lab, and storing them in the standard LeRobot Dataset format. Then they'll be used to train a robot policy with imitation learning, which is subsequently evaluated in simulation. Finally, the validated policy is deployed on real-world robots with NVIDIA Jetson for real-time inference.

​​We'd like to see you complete the LeRobot getting-started part by following the next steps, and also create the coolest application demo video using LeRobot to perform creative tasks :

• ​​Setting up imitation learning environments

• ​​Data acquisition and training

• ​​Deploying tasks on dual-robotic arms

• ​​Deploy the validated model(ACT/Diffusion Policy/Pi0/GR00T N1) using NVIDIA Jetson Orin edge AI computer

​Then, more tasks built upon the getting-started part would be even better:

• ​Model optimization

• ​​Build with reCamera, such as start performing a task (pour coffee/tidy up desk, etc) by recognizing a dedicated situation through reCamera

• ​Integrate a 3D-depth camera (Orbbec Gemini2) on your robot arm project

​​Propose your creativity in task ideas, let's see how we can help, and discuss further!

​⏰ Timeline:

​May 6th：

​9:00 AM-12:00 PM:  Check-in & Team Union, Kickoff Project

​12:00 PM-6:00 PM: Data collection & Model Training

​May 7th：

​9:00 AM-4:00 PM: Project Continue

​4:00 PM-6:00 PM: Submit Project & Demo Presentation

​Noted:

• ​​We’ll conclude the workshop with a demo session showcasing the technical projects participants have built—no company pitches.

• ​Please submit your final project to edgeai@seeed.cc, all files including but not limited to project introduction/technical guidance/GitHub repository/demo video/video recording during 2-day development for social media post, etc.

​​What We Provide

• ​​SO-ARM100 Low-Cost AI Arm Kit:

  • ​​Includes servo motors, control board, power supply, and cables

  • ​​6DoF robotic arm with leading and following arms

  • ​3D-printed components for participants

• ​​reComputer J4012 Powered by Jetson Orin NX 16GB:

  • ​​compact and powerful computing platform for model deployment

• ​​reCamera:

  • ​​Tiny AI camera in modular design, with customizable baseboard, Linux-based OS, and Node-RED integration for no-code development

• ​​Online Resources & Tech Support In-person:

  • ​​Assembly, calibration, teleoperation, importing arms to NVIDIA Isaac Sim, and more steps are available on our wiki

​If you have any questions in mind, feel free to contact us anytime via email: edgeai@seeed.cc

​What You'll Learn:

• ​​Assembly and Calibration: Get hands-on with assembling and fine-tuning the new robotic arm that included in your GOSIM ticket;

• ​​Collecting real-world robot data through teleoperation

• ​​Access NVIDIA Issac Lab to accelerate LeRobot's data collection, training, and verification workflow

• ​​Generated motion data is then used to train a policy with imitation learning

​The Robotics Community Thrives When We Build Together

​Seeed is a global leader in open hardware innovation and an NVIDIA Elite Partner, We specialize in cutting-edge open hardware platforms. We aim to democratize technology through IoT and AI, empowering developers worldwide to break barriers in hardware innovation.

​​Join forces with LeRobot, NVIDIA, and Seeed Studio to explore building advanced robotic arms and accelerate research and innovation in AI robotics.

​​LeRobot, developed by Hugging Face, extends the successful paradigms from its  Transformers and Diffusers libraries into the robotics domain. LeRobot offers a comprehensive suite of tools for sharing data collection, model training, and simulation environments along with designs for low-cost manipulator kits.

​​NVIDIA’s AI technology, simulation, and open-source robot learning modular framework such as NVIDIA Isaac Lab can accelerate LeRobot’s data collection, training, and verification workflow. Researchers and developers can share their models and datasets built with LeRobot and Isaac Lab, creating a data flywheel for the robotics community.