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
Papers
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