Lakesenberg/Seeed_rebot_lianxucaiji3

该数据集使用LeRobot工具创建，是一个机器人学习数据集，专门用于机器人控制任务。数据集基于Seeed B601 DM跟随者机器人类型，包含10个完整的情节（episodes），总计17947帧数据，覆盖1个任务。数据以30帧每秒的速率采集，存储为Parquet格式文件，总数据文件大小为100MB，视频文件大小为200MB。数据集特征包括机器人动作（如肩部、肘部、手腕等7个关节的位置）、观测状态（与动作相同的关节位置）、来自侧面和手部摄像头的图像观测（分辨率分别为880x640和480x640，RGB格式），以及时间戳、帧索引、情节索引等元数据。数据集仅包含训练分割，适用于机器人模仿学习或强化学习研究。

This dataset was created using the LeRobot tool and is a robotics learning dataset designed for robot control tasks. It is based on the Seeed B601 DM follower robot type, containing 10 complete episodes with a total of 17947 frames, covering 1 task. Data is collected at 30 frames per second and stored in Parquet format files, with a total data file size of 100MB and video file size of 200MB. The dataset features include robot actions (e.g., positions of 7 joints such as shoulder, elbow, wrist), observation states (same joint positions as actions), image observations from side and hand cameras (resolutions of 880x640 and 480x640, RGB format), and metadata such as timestamp, frame index, and episode index. The dataset only includes a training split and is suitable for robot imitation learning or reinforcement learning research.