chomeed/ai_worker_board_handover_dagger_arm_only_success

该数据集是一个机器人学数据集，使用LeRobot框架创建，专门用于双臂机器人操作任务，具体为“ai_worker_board_handover_dagger_arm_only_success”场景。数据集包含91个episodes，总计20081帧，帧率为30fps，所有数据均用于训练。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。数据集的核心特征包括：观测状态（38维浮点向量，涵盖左臂和右臂各7个关节以及左右夹爪的多个关节位置）、动作（16维浮点向量，控制双臂关节和夹爪）、以及来自头部摄像头（分辨率1280x720）和左右腕部摄像头（分辨率424x240）的视频观测。此外，还包含时间戳、帧索引、episode索引等元数据。该数据集适用于机器人模仿学习或强化学习任务，特别是双臂协调操作。This dataset is a robotics dataset created using the LeRobot framework, specifically designed for dual-arm robot manipulation tasks, focusing on the ai_worker_board_handover_dagger_arm_only_success scenario. It contains 91 episodes with a total of 20081 frames at 30fps, all allocated for training. The data is stored in parquet format, with a total data file size of 100MB and video file size of 200MB. Key features include: observation state (a 38-dimensional float32 vector covering 7 joints each for left and right arms, plus multiple joints for left and right grippers), action (a 16-dimensional float32 vector controlling arm joints and grippers), and video observations from a head camera (1280x720 resolution) and left/right wrist cameras (424x240 resolution). Additionally, metadata such as timestamp, frame index, and episode index are included. The dataset is suitable for robot imitation learning or reinforcement learning tasks, particularly for dual-arm coordinated manipulation.