ForEnt: A multimodal dataset for characterising quadruped robot entrapments in forest environments
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资源简介：
ForEnt provides multimodal recordings of forest traversal with over 140 entrapment cases on the Unitree Go2 EDU quadruped robota cross 16 sequences. The dataset is collected in the Southampton Common, UK, covering approximately 2.5 km of traversal. Code for processing the dataset: https://doi.org/10.5281/zenodo.23811423 Data included: RGB-D images LiDAR inertial measurements joint states and commands foot-force measurements power measurements third-person video SLAM trajectories global map
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Zenodo创建时间：
2026-11-04
