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3D Reasoning with LeRobot
I’ve been working on a small open-source project called LeRobot 3D — a 3D-grounded teleoperation stack for the SO101 robot. Most accessible robot learning pipelines still primarily operate on 2D camera observations. But for many manipulation tasks, what we really care about is inherently 3D: where objects are relative to the robot, what is reachable, what is occluded, and where collisions might occur. LeRobot 3D is an attempt to facilitate 3D grounding as part of the LeRobot stack. The codebase currently supports: 📷 Multi-camera 3D reconstruction — fuse one or more Intel RealSense cameras into a shared live scene point cloud. 🤖 Robot geometry tracking — track the SO101’s URDF geometry alongside the scene using forward kinematics. 🕹️** Teleoperat**ion — control one or more SO101 follower arms from matched leader arms through a config-driven setup. 🌐 Live 3D visualization — visualize the fused scene, robot geometry, and individual robot links in a browser using Viser. 🎯 Camera-to-robot calibration — manually initialize camera alignment and refine extrinsics with multi-scale ICP against the robot’s own URDF mesh. The goal is to provide a simple foundation for building 3D-aware robot learning systems without having to rebuild camera calibration, point-cloud fusion, robot geometry tracking, and visualization infrastructure for every new project. https://github.com/SergioMOrozco/lerobot\_3d The project is open source (and in active development). Contributions are welcome and encouraged! Thanks :) submitted by /u/FezTheImmigrant [link] [Kommentare] reddit.com · reddit.com
I’ve been working on a small open-source project called LeRobot 3D — a 3D-grounded teleoperation stack for the SO101 robot. Most accessible robot learning pipelines still primarily operate on 2D camera observations. But for many manipulation tasks, what we really care about is inherently 3D: where objects are relative to the robot, what is reachable, what is occluded, and where collisions might occur. LeRobot 3D is an attempt to facilitate 3D grounding as part of the LeRobot stack. The codebase currently supports: 📷 Multi-camera 3D reconstruction — fuse one or more Intel RealSense cameras into a shared live scene point cloud. 🤖 Robot geometry tracking — track the SO101’s URDF geometry alongside the scene using forward kinematics. 🕹️** Teleoperat**ion — control one or more SO101 follower arms from matched leader arms through a config-driven setup. 🌐 Live 3D visualization — visualize the fused scene, robot geometry, and individual robot links in a browser using Viser. 🎯 Camera-to-robot calibration — manually initialize camera alignment and refine extrinsics with multi-scale ICP against the robot’s own URDF mesh. The goal is to provide a simple foundation for building 3D-aware robot learning systems without having to rebuild camera calibration, point-cloud fusion, robot geometry tracking, and visualization infrastructure for every new project. https://github.com/SergioMOrozco/lerobot\_3d The project is open source (and in active development). Contributions are welcome and encouraged! Thanks :) submitted by /u/FezTheImmigrant [link] [Kommentare]
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