Latest News

Discover how diffusion models in imitation learning help robots mimic human actions, handle noise, and perform complex tasks efficiently.

CrossFormers introduce a transformer-based policy that can control a wide variety of robots across different tasks, including manipulation,

Discover how variations in data collection impact imitation learning with the Aloha Kit. Explore experiments and access datasets on Hugging

Bi-ACT builds upon ACT with an approach that incorporates both position and force information.

Imitation learning is essential in robotics for its ability to quickly and safely teach robots complex tasks.

Auto Encoders, VAEs, and CVAEs in robotic machine learning help reduce data complexity, generate new data, and improve precision.

Imitation learning (IL) enables robots to mimic human actions, evolving from basic Behavior Cloning to advanced methods like Deep Imitation.