Datasets › MuSoHu
MuSoHu (Toward human-like social robot navigation: A large-scale, multi-modal, social human navigation dataset)
A large-scale, egocentric, multimodal, and context-aware dataset of human demonstrations of social navigation.
Provide:
MuSoHu contains approximately 20 hours, 300 trajectories, 100 kilometers of socially compliant navigation demonstrations collected by 13 human demonstrators that comprise multimodal data streams from different sensors, in both indoor and outdoor environments within the George Mason University campus and the Washington DC metropolitan area. MuSoHu also provide annotations of interesting social interaction events and of the navigation contexts (i.e., “casual”,”neutral”, and “rush”) for each of the trials.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
No task tagged in the archive.
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- MuSoHu
1 variant name, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections