vladfatu/telerobot-train-pick-toy-4

该数据集是一个用于机器人学习的数据集，专门针对机器人操作任务，具体为拾取玩具任务。数据集包含351个episodes，总计122412帧数据，数据以parquet格式存储，视频以mp4格式存储。数据集特征包括机器人的动作（6个关节位置：肩部平移、肩部提升、肘部弯曲、手腕弯曲、手腕旋转、夹爪位置）、观测状态（与动作相同的关节位置）、两个视角的图像观测（主视角和右腕视角，均为480x640分辨率RGB视频），以及时间戳、帧索引、episode索引等元数据。机器人类型为so_follower，任务数为1，数据采集频率为30fps。数据集使用LeRobot工具创建，适用于机器人控制、模仿学习等研究。

This dataset is designed for robotics learning, specifically for robot manipulation tasks, focusing on picking up toys. It contains 351 episodes with a total of 122,412 frames, stored in parquet format for data and mp4 format for videos. The dataset features include robot actions (6 joint positions: shoulder pan, shoulder lift, elbow flex, wrist flex, wrist roll, gripper position), observation states (same joint positions as actions), image observations from two perspectives (main and right wrist, both 480x640 resolution RGB videos), and metadata such as timestamp, frame index, and episode index. The robot type is so_follower, with one task, and data is collected at 30fps. Created using the LeRobot tool, it is suitable for research in robot control, imitation learning, and related areas.