The SO101 community feed
Discover what’s possible. Find a project, make it your own, and share what you learn.
Useful resources, credited to their original creators.
An interactive 3D explainer showing how Markov Decision Processes help agents make decisions under uncertainty through grid worlds, Bellman updates, and value iteration.
A simulated cap-to-tray task, adapted from NVIDIA's SO-101 workshop in Isaac Sim / Isaac Lab, uses a learned state-based PPO policy to generate 1,000 filtered LeRobot v3 demonstrations with top and wrist RGB. Simulation data generation; real-world transfer and SmolVLA improvement are not yet demonstrated.
A community SmolVLA fine-tune whose model card describes an SO101 orange-picking task in Isaac Sim.
A small LeRobot v3 dataset of MuJoCo SO101 demonstrations linked by the SO101-Nexus author.
XLeRobot shares hardware, software and simulation resources for a mobile robot built around SO100/SO101 arms.
LeRobot publishes a SmolVLA base model intended for fine-tuning on a specific robot task.
Official SO101 hardware designs and LeRobot assembly guidance for preparing a leader/follower setup.
A model, a dataset, a few setup notes. Share what you have.
