Motion Policy Networks

홈페이지 · 논문 3편

This dataset contains a large set (~3.2 Million) of high quality expert trajectories generated from a geometrically consist hybrid planner in a wide variety of environment (~575,000 environments). We created this dataset to explore the capabilities of neural networks to learn complex robotic motion, mimicking a traditional planner. For more information on how to use this data, please refer to the Github for this project: https://github.com/nvlabs/motion-policy-networks