act_so101_pick_place_v1 is an open-source imitation learning model designed for robotic pick-and-place tasks. It provides open weights and supports integration with robotics frameworks, making it suitable for researchers and developers in robotics and AI.
Act So101 Pick Place is an Other AI product. It focuses on enabling robotic systems to learn and perform pick-and-place tasks using imitation learning. Act So101 Pick Place is an open-source project aimed at robotics researchers and developers. The project is open source (Apache-2.0). Act So101 Pick Place is available on the web, the command line, and API, and it can be self-hosted.
AkshayM-X builds and maintains Act So101 Pick Place, and the product first shipped in 2024. The project is developed in the open on GitHub with 25.8k stars and 155 commits in the last 90 days. Among its 5 catalogued features are imitation learning, pick-and-place policy, and robotics integration.
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