HuggingFace's open-source project "LeRobot" has released a detailed guide that comprehensively covers the process of assembling, configuring, and training AI robots. The project aims to lower the entry barriers for AI in the robotics field and support the open-source ecosystem in robotics.
Remi Cadene, co-founder of LeRobot, stated that this step-by-step guide is intended for a broader audience, hoping to popularize AI-driven robotics technology and encourage innovation in the field. The guide is based on the open-source robot kit Koch v1.1, which includes two 6-degree-of-freedom robotic arms and one or more cameras.
Looking ahead, LeRobot plans to develop a more affordable version of the Moss v1 robot, eliminating the need for 3D printing and offering two robotic arms for just $150. They aim to grow the robotics community and fully leverage open-source technology and the Hugging Face Hub to rapidly iterate on the next generation of robots.
Meanwhile, tech giants like Google and OpenAI are also developing closed-source multimodal foundational models for robots. Cadene emphasized the importance of open-source methods, as this new technology will ultimately drive social and industrial progress and should benefit all of humanity.
Project link: https://github.com/huggingface/lerobot