place_in_the_box_policy is an open-source robotics policy model trained with action chunking for imitation learning tasks. It enables robotics developers to run, evaluate, and train policies for robots using the LeRobot framework. The model is distributed under the Apache-2.0 license and is suitable for research and development in robotics automation.
Place In The Box Policy sits in PulseGate's Other AI category. It focuses on enabling robotics developers to implement and test imitation learning policies using action chunking without building models from scratch. Place In The Box Policy is an open-source project aimed at robotics developers. The project is open source (Apache-2.0). The product ships for the web, API, and the command line, and it can be self-hosted.
xogml03 builds and maintains Place In The Box Policy, 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. Across PulseGate's embedding index, Place In The Box Policy has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are imitation learning, action chunking, and robotics policy.
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