osquar/record-test

该数据集是一个机器人控制数据集，使用LeRobot工具创建。数据集专为机器人任务设计，具体针对so_follower机器人类型。它包含10个完整的episodes，总计4096帧数据，覆盖1个任务。数据以30fps的帧率采集，总数据文件大小为100MB，视频文件大小为200MB。数据集仅用于训练（train split）。数据特征包括：动作（action）和观察状态（observation.state），两者都包含6个关节位置（肩部平移、肩部提升、肘部弯曲、腕部弯曲、腕部旋转和夹爪位置），数据类型为float32。观察图像（observation.images.front）为前摄像头视频，分辨率为480x640，3通道，视频编码为av1，无音频。此外，数据集还提供时间戳、帧索引、episode索引、索引和任务索引等元数据，以支持机器人学习和控制任务的分析与建模。

This dataset is a robotics control dataset created using the LeRobot tool. It is designed for robotics tasks, specifically for the so_follower robot type. The dataset includes 10 full episodes, totaling 4096 frames, covering 1 task. Data is collected at a frame rate of 30fps, with a total data file size of 100MB and video file size of 200MB. The dataset is intended for training only (train split). Features include: action and observation.state, both containing 6 joint positions (shoulder pan, shoulder lift, elbow flex, wrist flex, wrist roll, and gripper position) with a dtype of float32. Observation images (observation.images.front) are front camera videos with a resolution of 480x640, 3 channels, encoded in av1, without audio. Additionally, the dataset provides metadata such as timestamp, frame index, episode index, index, and task index to support analysis and modeling for robot learning and control tasks.