ankile/square-01a-ours-sobol-r2-diagnostic-rollouts

该数据集是一个用于机器人学习的仿真数据集，使用LeRobot工具创建。数据集包含100个episodes，总计19739帧，帧率为20fps，采用Apache 2.0许可证。机器人类型为panda，数据以parquet格式存储，并包含相应的MP4视频文件。数据集特征丰富，包括观察状态（如末端执行器位置、四元数、夹爪位置）、动作（如末端执行器位置和旋转增量、夹爪动作）、环境状态（如螺母相对于末端执行器的位置和姿态）、奖励、成功标志、步骤剩余、初始模拟关节位置和速度等。这些数据可用于机器人控制、强化学习或模仿学习任务。This dataset is a simulation dataset for robotics learning, created using the LeRobot tool. It contains 100 episodes, totaling 19739 frames, with a frame rate of 20fps, and is licensed under Apache 2.0. The robot type is panda, and the data is stored in parquet format along with corresponding MP4 video files. The dataset features include observation states (e.g., end-effector position, quaternion, gripper position), actions (e.g., delta end-effector position and rotation, gripper action), environment states (e.g., nut position and orientation relative to the end-effector), reward, success flag, steps to go, initial simulation joint positions and velocities, etc. This data can be used for robotics control, reinforcement learning, or imitation learning tasks.