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dancher00/WasserMan

WasserMan: underwater manipulation demonstrations Project website · Code · Paper To our knowledge, WasserMan is the first multi-task simulation benchmark focused on visuomotor policy learning for manipulating articulated underwater mechanisms. Version wm-open-v2-20260929: expert trajectories for the six-task core of WasserMan. This dataset contains 480 selected successful demonstrations (456 training, 24 validation), with all 504 collection attempts retained. These are simulated… See the full description on the dataset page: https://huggingface.co/datasets/dancher00/WasserMan.

Author / organizationdancher00
License (as declared)apache-2.0
Downloads1.6K (as reported by Hugging Face)
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Created8 October 2026
Last updated at source15 October 2026
roboticsunderwatersimulationimitation-learningtrajectoriesbenchmark
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