oxe-auge/fractal20220817_data_train_52500_55000_augmented

fractal20220817_data_train_52500_55000_augmented是一个用于机器人增强学习的大规模数据集。该数据集包含多种机器人的图像和状态信息，如jaco、kinova3、kuka_iiwa、panda、sawyer、ur5e、xarm7等。数据集的帧率为3fps，总共有2500个episodes和109475帧。数据集的特征包括机器人的图像、关节位置、末端执行器位置等。此外，数据集还提供了自然语言指令，用于描述任务。数据集的目标是支持跨实体策略学习的研究和应用。

fractal20220817_data_train_52500_55000_augmented is a large-scale dataset for robotic reinforcement learning. The dataset includes images and state information of various robots such as jaco, kinova3, kuka_iiwa, panda, sawyer, ur5e, and xarm7. The dataset has a frame rate of 3fps, with a total of 2,500 episodes and 109,475 frames. Features of the dataset include robot images, joint positions, end-effector positions, and more. Additionally, the dataset provides natural language instructions to describe tasks. The goal of the dataset is to support research and applications in cross-embodiment policy learning.