kaiwen2/1212-test
收藏Hugging Face2025-12-13 更新2025-12-20 收录
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https://hf-mirror.com/datasets/kaiwen2/1212-test
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资源简介：
FastUMI Pro机器人操作数据集采用RLDS格式，主要用于拾取物体的任务。数据集包含12个episodes，总计6692个步骤，帧率为30FPS。观察值包括1080x1920分辨率的RGB相机图像和7维的末端执行器姿态（x, y, z, roll, pitch, yaw, gripper）。动作为7维的目标姿态。数据集还包含标准的RLDS字段，如奖励、折扣、是否为第一步、是否为最后一步等。数据加载通过TensorFlow的TFRecord格式实现。
FastUMI Pro robot manipulation dataset in RLDS format. The task is to pick up the object. The dataset contains 12 episodes with a total of 6692 steps at 30 FPS. Observations include RGB camera images (1080x1920 resolution) and 7-dimensional end-effector pose (x, y, z, roll, pitch, yaw, gripper). Actions are 7-dimensional target poses. The dataset also includes standard RLDS fields such as reward, discount, is_first, is_last, etc. Data loading is implemented via TensorFlows TFRecord format.
提供机构：
kaiwen2
