ball_merged_88_7

该数据集是一个基于LeRobot框架创建的机器人控制数据集，专为so_follower型机器人设计。它包含86个训练片段，总计70378帧，覆盖4个不同的任务。数据以30帧每秒的速率采集，存储为Parquet格式，总数据文件大小为100MB，视频文件大小为200MB。数据集的特征包括6维动作空间（控制肩部平移、肩部提升、肘部弯曲、手腕弯曲、手腕旋转和夹爪位置）和6维关节位置的观察状态。观察数据还包括两个视频流：fixed摄像头和handeye摄像头，均以480x640分辨率、3通道（RGB）格式存储，使用h264编码。此外，数据集包含时间戳、帧索引、片段索引和任务索引等元数据，适用于机器人学习和控制研究。

This dataset is a robot control dataset created using the LeRobot framework, specifically designed for so_follower type robots. It contains 86 training episodes, totaling 70,378 frames, covering 4 different tasks. Data is collected at a rate of 30 frames per second, stored in Parquet format, with a total data file size of 100MB and a video file size of 200MB. The dataset features a 6-dimensional action space (controlling shoulder translation, shoulder elevation, elbow flexion, wrist flexion, wrist rotation, and gripper position) and an observation state (also 6-dimensional joint positions). Observation data also includes two video streams: fixed camera and handeye camera, both stored at 480x640 resolution, 3-channel (RGB) format, using h264 encoding. Additionally, the dataset contains metadata such as timestamps, frame indices, episode indices, and task indices, making it suitable for robot learning and control research.