Tsagkas/SLMC_drop_toothpaste_forward_cucumber_pi05

该数据集是一个机器人学数据集，使用LeRobot创建，专为机器人控制和学习任务设计。数据集包含32个episodes，总计3415帧，涉及2个不同任务。数据以parquet文件格式存储，视频文件以mp4格式提供，总数据大小约为100MB，视频大小约为200MB，帧率为15fps。数据集的特征包括：动作数据（6个浮点数，表示肩部旋转、肩部抬升、肘部弯曲、腕部弯曲、腕部旋转和夹爪位置）、状态观察（与动作相同的6个关节位置）、前端图像观察（256x256像素的RGB视频，无音频，使用av1编解码器）、时间戳、帧索引、episode索引、全局索引和任务索引。数据集适用于训练和评估机器人强化学习或模仿学习模型，聚焦于机械臂操作任务。This dataset is a robotics dataset created using LeRobot, designed for robot control and learning tasks. It contains 32 episodes, totaling 3415 frames, and involves 2 distinct tasks. The data is stored in parquet files, with video files in mp4 format; the total data size is approximately 100MB, video size is about 200MB, and the frame rate is 15fps. The dataset features include: action data (6 float values representing shoulder pan, shoulder lift, elbow flex, wrist flex, wrist roll, and gripper positions), state observation (same 6 joint positions as actions), front image observation (256x256 RGB video without audio, using av1 codec), timestamp, frame index, episode index, global index, and task index. It is suitable for training and evaluating robot reinforcement learning or imitation learning models, focusing on robotic arm manipulation tasks.