act-bowl-7-15 is an open-source AI policy model for robotic manipulation, leveraging action chunking and imitation learning. It is intended for robotics researchers and developers seeking advanced policy models for robotics applications.
In the Other AI space, Act Bowl 7 15 takes a focused approach. It focuses on providing a policy model for robotic manipulation tasks using action chunking and imitation learning. Act Bowl 7 15 is an open-source project aimed at robotics researchers and developers. The project is open source (Apache-2.0). Act Bowl 7 15 is available on the web and the command line.
HuskyMango builds and maintains Act Bowl 7 15, and the product first shipped in 2024. The project is developed in the open on GitHub with 25.8k stars and 157 commits in the last 90 days. Among its 5 catalogued features are robotics policy, action chunking, and imitation learning.
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