oxe-aug/bridge_train_0_5000_augmented

bridge_train_0_5000_augmented数据集是一个机器人学领域的数据集，它基于BridgeData V2数据集进行了增强。该数据集包含了多种机器人的图像和状态信息，包括google_robot、jaco、kinova3、kuka_iiwa、panda、sawyer、ur5e和xarm7等。数据集总共有5000个剧集，约170417帧图像，分为训练集。每个剧集包含增强后的机器人图像、原始机器人图像、机器人末端执行器的位置和误差、关节角度等信息。数据集适用于机器人学习的任务，特别是跨机器人模型的策略学习。

The bridge_train_0_5000_augmented dataset is a robotics dataset that is augmented based on the BridgeData V2 dataset. It includes images and state information for various robots such as google_robot, jaco, kinova3, kuka_iiwa, panda, sawyer, ur5e, and xarm7. The dataset consists of a total of 5,000 episodes with approximately 170,417 frames of images, split into a training set. Each episode contains augmented robot images, original robot images, end effector positions and errors, joint angles, and other information. The dataset is suitable for robotics learning tasks, particularly for policy learning across different robot models.