KS325/place-upper-r2-occ-test

该数据集是使用LeRobot创建的机器人数据集，专门用于机器人学习任务。数据集包含4个完整的情节（episodes），总计2997帧数据，涉及1个任务。数据以parquet格式存储，总数据文件大小为100MB，视频文件大小为200MB，帧率为30fps。数据集的特征包括：动作（action），包含6个关节位置（肩部平移、肩部抬升、肘部弯曲、腕部弯曲、腕部旋转、夹爪位置）；状态观测（observation.state），同样包含6个关节位置；图像观测来自两个摄像头（camera1和camera2），每个摄像头提供480x640分辨率、3通道的RGB视频，编码为av1格式，无音频；以及时间戳、帧索引、情节索引、任务索引等元数据。机器人类型为so_follower。数据集适用于机器人控制、模仿学习或强化学习等研究场景。This dataset is a robotics dataset created using LeRobot, designed for robot learning tasks. It contains 4 complete episodes with a total of 2997 frames, involving 1 task. The data is stored in parquet format, with a total data file size of 100MB and video file size of 200MB, at a frame rate of 30fps. The dataset features include: action, comprising 6 joint positions (shoulder pan, shoulder lift, elbow flex, wrist flex, wrist roll, gripper); state observation (observation.state), also with 6 joint positions; image observations from two cameras (camera1 and camera2), each providing RGB video at 480x640 resolution with 3 channels, encoded in av1 format without audio; and metadata such as timestamp, frame index, episode index, and task index. The robot type is so_follower. The dataset is suitable for research in robot control, imitation learning, or reinforcement learning.