policy_test is an open-source imitation-learning model for robotics, trained to predict action chunks from teleoperated data. It is designed for robotics researchers and developers to run locally or integrate into robotics control systems.
In the Other AI space, Policy Test takes a focused approach. It focuses on enabling robotics developers to use imitation-learning models for predicting action sequences from teleoperated data. Policy Test is an open-source project aimed at robotics researchers and developers. The project is open source (Apache-2.0). The product ships for the web and the command line, and it can be self-hosted.
It is developed by iny2020, and the product first shipped in 2024. The project is developed in the open on GitHub with 25.8k stars and 156 commits in the last 90 days. Among its 5 catalogued features are imitation learning, robotics policy, and action chunking.
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