oxe-auge/fractal20220817_data_train_5000_7500_augmented

fractal20220817_data_train_5000_7500_augmented数据集是OXE-AugE项目的一部分，专注于机器人数据的增强，用于跨体现策略学习。数据集包含来自多种机器人（如jaco、kinova3、kuka_iiwa、panda、sawyer、ur5e、xarm7）的数据，包括图像、关节位置和末端执行器姿态，以及自然语言指令。数据集结构分为片段和帧，每种机器人类型都有详细的特征描述。数据集还提供了许可证信息、引用政策以及相关资源的链接。

The fractal20220817_data_train_5000_7500_augmented dataset is part of the OXE-AugE project, focusing on augmenting robot data for cross-embodiment policy learning. It includes data from various robots (e.g., jaco, kinova3, kuka_iiwa, panda, sawyer, ur5e, xarm7), such as images, joint positions, and end-effector poses, along with natural language instructions. The dataset is structured into episodes and frames, with detailed feature descriptions for each robot type. The README also provides information on the datasets license, citation policy, and links to related resources.