aswinkumar99/LeRobot-SO101-task1-single-sponge-no-distractors-fixed-locations
收藏Hugging Face2026-04-24 更新2026-04-26 收录
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https://hf-mirror.com/datasets/aswinkumar99/LeRobot-SO101-task1-single-sponge-no-distractors-fixed-locations
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资源简介：
真实世界SO101拾取放置数据集，专注于单一海绵物体且无干扰物的情况。该数据集使用6个固定位置的工作空间布局，包含64个片段和30160帧，帧率为30fps，使用头顶和手腕摄像头，仅在夜间光照条件下收集。旨在用于模仿学习、行为克隆、策略评估和布局变化下的鲁棒性研究。
Real-world SO101 pick-and-place dataset for a single sponge with no distractors. This split uses fixed workspace layouts drawn from 6 predefined locations. Contains 64 episodes and 30160 frames at 30fps, using overhead and wrist cameras, collected only under night lighting conditions. Intended for imitation learning, behavior cloning, policy evaluation, and robustness studies under layout changes.
提供机构：
aswinkumar99
