SO101_Ebifry_Avoid_Rice_ACT_v2 is an open-source imitation-learning model for robotics, trained to predict short action chunks using transformer architectures. It is designed for use with LeRobot and can be integrated into robotics workflows for improved policy learning and control. The model is aimed at robotics researchers and developers.
SO101 Ebifry Avoid Rice ACT is an Other AI product. It focuses on allowing robotics developers to implement imitation-learning policies that predict action chunks for more efficient robot control. It is built as an open-source project for robotics developers. SO101 Ebifry Avoid Rice ACT is open source under the Apache-2.0 license. It runs on the web, the command line, and API.
Kouch builds and maintains SO101 Ebifry Avoid Rice ACT, and the product first shipped in 2024. Development happens publicly on GitHub with 25.8k stars and 157 commits in the last 90 days. Key capabilities include imitation learning, action chunking, and robotics policy.
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