A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments
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A multi-modal dataset of quadruped robot traversals in woodland environments capturing slips, trips, and entanglements, recorded with a Unitree Go2 Edu across four forest sites under teleoperation. It includes synchronized proprioceptive and exteroceptive sensor streams, third-person videos, and 88 entrapment and recoverable near-entrapment annotations from ~1 km over 24 trials, enabling reproducible benchmarking of entrapment detection and recovery.
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Zenodo创建时间：
2025-09-14
