act_pick_bottle is an open-source imitation-learning model for robotics, trained to predict action chunks for manipulation tasks. It integrates with LeRobot and is suitable for researchers developing robotic control systems.
Act Pick Bottle sits in PulseGate's Other AI category. It enables roboticists to implement imitation-learning policies for robotic manipulation using open-source models. Act Pick Bottle is an open-source project aimed at robotics researchers. The project is open source (Apache-2.0). The product ships for the web and the command line.
Behind Act Pick Bottle is Maxba, and the product first shipped in 2024. The project is developed in the open on GitHub with 25.7k stars and 166 commits in the last 90 days. Across PulseGate's embedding index, Act Pick Bottle has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are imitation learning, robotics policy, and action chunking.
Latest indexed changes and source events
Maxba/act_pick_bottle discovered by the PulseGate indexer
