act_merged_dataset_pick_cube_new is an open-source imitation learning model for robotics, enabling action chunking from teleoperated data. It is suitable for researchers and developers working on robotic control and learning tasks.
In the Other AI space, kamicuba/act_merged_dataset_pick_cube_new takes a focused approach. It focuses on providing an open-source model for robotic imitation learning and action chunking for robotics research. kamicuba/act_merged_dataset_pick_cube_new is an open-source project aimed at robotics researchers, AI developers, machine learning engineers. The project is open source (Apache-2.0). The product ships for the web and the command line, and it can be self-hosted.
Behind kamicuba/act_merged_dataset_pick_cube_new is kamicuba, 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 4 catalogued features are imitation learning, robotic action chunking, and python integration.
Latest indexed changes and source events
kamicuba/act_merged_dataset_pick_cube_new verified by the PulseGate indexer
Other apps tracked under the same category.
