aswinkumar99/LeRobot-SO101-task3-single-sponge-with-distractors-random-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-task3-single-sponge-with-distractors-random-locations
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资源简介：
真实世界的SO101拾取放置数据集，专注于在有干扰物的情况下进行单个海绵的操作。该数据集使用随机化的工作空间布局，包含64个片段，34725帧，帧率为30fps，使用了头顶和手腕两个摄像头，光照条件包括早晨和夜晚各32种。数据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 distractor objects present. This split uses randomized workspace layouts. The dataset contains 64 episodes, 34725 frames, with a frame rate of 30fps, using overhead and wrist cameras, and lighting conditions include 32 morning and 32 night settings. The dataset is intended for imitation learning, behavior cloning, policy evaluation, and robustness studies under layout changes.
提供机构：
aswinkumar99
