oxe-auge/fractal20220817_data_train_45000_47500_augmented
收藏Hugging Face2025-12-16 更新2025-12-20 收录
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https://hf-mirror.com/datasets/oxe-auge/fractal20220817_data_train_45000_47500_augmented
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资源简介：
fractal20220817_data_train_45000_47500_augmented是一个机器人增强数据集，主要用于机器人学习和控制任务。数据集包含来自多种机器人（如jaco、kinova3、kuka_iiwa、panda、sawyer、ur5e、xarm7）的图像和姿态数据。数据以3帧每秒的速率采集，共包含2500个集和107405帧。数据集中的特征包括原始机器人和增强机器人的图像、末端执行器姿态、关节角度等。数据集旨在支持跨机器人策略学习的研究。
fractal20220817_data_train_45000_47500_augmented is an augmented robotics dataset designed for robot learning and control tasks. The dataset includes images and pose data from multiple robots (e.g., jaco, kinova3, kuka_iiwa, panda, sawyer, ur5e, xarm7). Data is collected at 3 frames per second, totaling 2,500 episodes and 107,405 frames. Features in the dataset include images of the original and augmented robots, end-effector poses, joint angles, and more. The dataset aims to support research in cross-embodiment policy learning.
提供机构：
oxe-auge
