Fysics-AI/MAP-Bench

MAP-Bench Paper · Project · GitHub · Checkpoints MAP-Bench evaluates instruction-conditioned navigation to a Manipulation Anchor Pose: the base position and heading from which a robot can begin the intended manipulation. Built in HM3D, it uses one forward RGB view and three distance levels: Short, Medium, and Long. 35,454 training trajectories with 7,184,098 RGB frames at 15 Hz, navigation actions, task instructions, target boxes, and MAP annotations. 15,000 evaluation… See the full description on the dataset page: https://huggingface.co/datasets/Fysics-AI/MAP-Bench.

<iframe src="https://silytics.si/embed/item/f1a24f71-2a1d-4871-af7a-842aecb286a2" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.