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schweppesxu/G1_DualRobot_Clean_Table

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Hugging Face2026-03-12 更新2026-03-29 收录
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--- license: apache-2.0 task_categories: - robotics tags: - LeRobot configs: - config_name: default data_files: data/*/*.parquet --- This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). ## Dataset Description - **Homepage:** [UnifoLM-VLA-0](https://unigen-x.github.io/unifolm-vla.github.io/) - **License:** apache-2.0 - **Task Objective:** Collaborate with a nearby partner to tidy the table. - **Operation Duration:** Each operation takes approximately 20 to 40 seconds. - **Recording Frequency:** 30 Hz. - **Robot Type:** 7-DOF dual-arm G1 robot. - **End Effector:** Gripper. - **Dual-Arm Operation:** Yes. - **Image Resolution:** 640x480. - **Camera Positions:** Wrist-mounted (monocular camera) + head-mounted (binocular cameras). - **Data Content:** • Robot's current state. • Robot's next action. • Current camera view images. - **Robot Initial Posture:** The first robot state in each dataset entry. - **Object Placement:** Randomly placed within the robot arm's motion range and the field of view of the robot's head-mounted camera. - **Camera View:** Follow the guidelines in **Part 5** of [AVP Teleoperation Documentation](https://github.com/unitreerobotics/avp_teleoperate). - **Important Notes:** 1. Due to the inability to precisely describe spatial positions, adjust the scene to closely match the first frame of the dataset after installing the hardware as specified in **Part 5** of [AVP Teleoperation Documentation](https://github.com/unitreerobotics/avp_teleoperate). 2. Data collection is not completed in a single session, and variations between data entries exist. Ensure these variations are accounted for during model training. ## Dataset Structure [meta/info.json](meta/info.json): ```json { "codebase_version": "v2.1", "robot_type": "G1_ALL", "total_episodes": 200, "total_frames": 171312, "total_tasks": 1, "total_videos": 800, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:200" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4", "features": { "observation.left_arm": { "dtype": "float32", "shape": [ 7 ], "names": [ "kLeftShoulderPitch", "kLeftShoulderRoll", "kLeftShoulderYaw", "kLeftElbow", "kLeftWristRoll", "kLeftWristPitch", "kLeftWristYaw" ] }, "observation.right_arm": { "dtype": "float32", "shape": [ 7 ], "names": [ "kRightShoulderPitch", "kRightShoulderRoll", "kRightShoulderYaw", "kRightElbow", "kRightWristRoll", "kRightWristPitch", "kRightWristYaw" ] }, "observation.left_gripper": { "dtype": "float32", "shape": [ 1 ], "names": [ "kLeftGripper" ] }, "observation.right_gripper": { "dtype": "float32", "shape": [ 1 ], "names": [ "kRightGripper" ] }, "observation.left_ee": { "dtype": "float32", "shape": [ 6 ], "names": [ "kLeftEEX", "kLeftEEY", "kLeftEEZ", "kLeftEER", "kLeftEEP", "kLeftEEY" ] }, "observation.right_ee": { "dtype": "float32", "shape": [ 6 ], "names": [ "kRightEEX", "kRightEEY", "kRightEEZ", "kRightEER", "kRightEEP", "kRightEEY" ] }, "observation.body": { "dtype": "float32", "shape": [ 29 ], "names": [ "kLeftHipPitch", "kLeftHipRoll", "kLeftHipYaw", "kLeftKnee", "kLeftAnklePitch", "kLeftAnkleRoll", "kRightHipPitch", "kRightHipRoll", "kRightHipYaw", "kRightKnee", "kRightAnklePitch", "kRightAnkleRoll", "kWaistYaw", "kWaistRoll", "kWaistPitch", "kLeftShoulderPitch", "kLeftShoulderRoll", "kLeftShoulderYaw", "kLeftElbow", "kLeftWristRoll", "kLeftWristPitch", "kLeftWristYaw", "kRightShoulderPitch", "kRightShoulderRoll", "kRightShoulderYaw", "kRightElbow", "kRightWristRoll", "kRightWristPitch", "kRightWristYaw" ] }, "action.left_arm": { "dtype": "float32", "shape": [ 7 ], "names": [ "kLeftShoulderPitch", "kLeftShoulderRoll", "kLeftShoulderYaw", "kLeftElbow", "kLeftWristRoll", "kLeftWristPitch", "kLeftWristYaw" ] }, "action.right_arm": { "dtype": "float32", "shape": [ 7 ], "names": [ "kRightShoulderPitch", "kRightShoulderRoll", "kRightShoulderYaw", "kRightElbow", "kRightWristRoll", "kRightWristPitch", "kRightWristYaw" ] }, "action.left_gripper": { "dtype": "float32", "shape": [ 1 ], "names": [ "kLeftGripper" ] }, "action.right_gripper": { "dtype": "float32", "shape": [ 1 ], "names": [ "kRightGripper" ] }, "action.left_ee": { "dtype": "float32", "shape": [ 6 ], "names": [ "kLeftEEX", "kLeftEEY", "kLeftEEZ", "kLeftEER", "kLeftEEP", "kLeftEEY" ] }, "action.right_ee": { "dtype": "float32", "shape": [ 6 ], "names": [ "kRightEEX", "kRightEEY", "kRightEEZ", "kRightEER", "kRightEEP", "kRightEEY" ] }, "action.body": { "dtype": "float32", "shape": [ 7 ], "names": [ "RobotVX", "RobotVY", "RobotAngZ", "RobotYaw", "RobotPitch", "RobotRoll", "RobotHeight" ] }, "observation.images.cam_left_high": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channel" ], "info": { "video.height": 480, "video.width": 640, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 30, "video.channels": 3, "has_audio": false } }, "observation.images.cam_right_high": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channel" ], "info": { "video.height": 480, "video.width": 640, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 30, "video.channels": 3, "has_audio": false } }, "observation.images.cam_left_wrist": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channel" ], "info": { "video.height": 480, "video.width": 640, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 30, "video.channels": 3, "has_audio": false } }, "observation.images.cam_right_wrist": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channel" ], "info": { "video.height": 480, "video.width": 640, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 30, "video.channels": 3, "has_audio": false } }, "timestamp": { "dtype": "float32", "shape": [ 1 ], "names": null }, "frame_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "episode_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "task_index": { "dtype": "int64", "shape": [ 1 ], "names": null } } } ``` ## Citation **BibTeX:** ```bibtex [More Information Needed] ```

license: Apache-2.0 任务类别:机器人学 标签:LeRobot 配置: - 配置名称:default - 数据文件:data/*/*.parquet 本数据集基于LeRobot工具创建。 ## 数据集说明 - **主页链接**:[UnifoLM-VLA-0](https://unigen-x.github.io/unifolm-vla.github.io/) - **许可证**:Apache-2.0 - **任务目标**:与附近协作伙伴协同完成桌面整理任务。 - **单次操作时长**:约20至40秒。 - **录制帧率**:30Hz。 - **机器人型号**:7自由度(7-DOF)双臂G1机器人。 - **末端执行器**:电动夹爪。 - **支持双臂操作**:是。 - **图像分辨率**:640×480。 - **相机布局**:腕部安装单目相机 + 头部安装双目相机。 - **数据内容**: • 机器人当前状态 • 机器人待执行的下一步动作 • 当前相机视角下的图像数据 - **机器人初始姿态**:每个数据条目的首个机器人状态。 - **物体摆放规则**:物体随机放置于机械臂运动范围内,且处于机器人头部安装相机的视野之中。 - **相机视角规范**:需遵循[AVP远程操作文档](https://github.com/unitreerobotics/avp_teleoperate)的第5部分指南。 - **重要注意事项**: 1. 由于无法精准描述空间位置,请在按照AVP远程操作文档第5部分的要求完成硬件安装后,调整实验场景使其与数据集的首帧画面高度匹配。 2. 本次数据采集并非单次完成,不同数据条目间存在一定差异,模型训练过程中需充分考虑这些变化因素。 ## 数据集结构 [meta/info.json](meta/info.json): json { "代码库版本": "v2.1", "机器人型号": "G1_ALL", "总任务回合数": 200, "总帧数": 171312, "总任务数": 1, "总视频数": 800, "总数据块数": 1, "数据块大小": 1000, "帧率": 30, "数据集划分": { "训练集": "0:200" }, "数据路径": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "视频路径": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4", "数据特征": { "观测数据.左臂": { "数据类型": "float32", "形状": [7], "字段名称": ["kLeftShoulderPitch", "kLeftShoulderRoll", "kLeftShoulderYaw", "kLeftElbow", "kLeftWristRoll", "kLeftWristPitch", "kLeftWristYaw"] }, "观测数据.右臂": { "数据类型": "float32", "形状": [7], "字段名称": ["kRightShoulderPitch", "kRightShoulderRoll", "kRightShoulderYaw", "kRightElbow", "kRightWristRoll", "kRightWristPitch", "kRightWristYaw"] }, "观测数据.左手夹爪": { "数据类型": "float32", "形状": [1], "字段名称": ["kLeftGripper"] }, "观测数据.右手夹爪": { "数据类型": "float32", "形状": [1], "字段名称": ["kRightGripper"] }, "观测数据.左手末端执行器": { "数据类型": "float32", "形状": [6], "字段名称": ["kLeftEEX", "kLeftEEY", "kLeftEEZ", "kLeftEER", "kLeftEEP", "kLeftEEY"] }, "观测数据.右手末端执行器": { "数据类型": "float32", "形状": [6], "字段名称": ["kRightEEX", "kRightEEY", "kRightEEZ", "kRightEER", "kRightEEP", "kRightEEY"] }, "观测数据.机体": { "数据类型": "float32", "形状": [29], "字段名称": ["kLeftHipPitch", "kLeftHipRoll", "kLeftHipYaw", "kLeftKnee", "kLeftAnklePitch", "kLeftAnkleRoll", "kRightHipPitch", "kRightHipRoll", "kRightHipYaw", "kRightKnee", "kRightAnklePitch", "kRightAnkleRoll", "kWaistYaw", "kWaistRoll", "kWaistPitch", "kLeftShoulderPitch", "kLeftShoulderRoll", "kLeftShoulderYaw", "kLeftElbow", "kLeftWristRoll", "kLeftWristPitch", "kLeftWristYaw", "kRightShoulderPitch", "kRightShoulderRoll", "kRightShoulderYaw", "kRightElbow", "kRightWristRoll", "kRightWristPitch", "kRightWristYaw"] }, "动作指令.左臂": { "数据类型": "float32", "形状": [7], "字段名称": ["kLeftShoulderPitch", "kLeftShoulderRoll", "kLeftShoulderYaw", "kLeftElbow", "kLeftWristRoll", "kLeftWristPitch", "kLeftWristYaw"] }, "动作指令.右臂": { "数据类型": "float32", "形状": [7], "字段名称": ["kRightShoulderPitch", "kRightShoulderRoll", "kRightShoulderYaw", "kRightElbow", "kRightWristRoll", "kRightWristPitch", "kRightWristYaw"] }, "动作指令.左手夹爪": { "数据类型": "float32", "形状": [1], "字段名称": ["kLeftGripper"] }, "动作指令.右手夹爪": { "数据类型": "float32", "形状": [1], "字段名称": ["kRightGripper"] }, "动作指令.左手末端执行器": { "数据类型": "float32", "形状": [6], "字段名称": ["kLeftEEX", "kLeftEEY", "kLeftEEZ", "kLeftEER", "kLeftEEP", "kLeftEEY"] }, "动作指令.右手末端执行器": { "数据类型": "float32", "形状": [6], "字段名称": ["kRightEEX", "kRightEEY", "kRightEEZ", "kRightEER", "kRightEEP", "kRightEEY"] }, "动作指令.机体": { "数据类型": "float32", "形状": [7], "字段名称": ["RobotVX", "RobotVY", "RobotAngZ", "RobotYaw", "RobotPitch", "RobotRoll", "RobotHeight"] }, "观测数据.图像.左侧高位相机": { "数据类型": "视频", "形状": [480, 640, 3], "字段名称": ["height", "width", "channel"], "补充信息": { "视频.高度": 480, "视频.宽度": 640, "视频.编码格式": "av1", "视频.像素格式": "yuv420p", "视频.非深度图": false, "视频.帧率": 30, "视频.通道数": 3, "无音频流": false } }, "观测数据.图像.右侧高位相机": { "数据类型": "视频", "形状": [480, 640, 3], "字段名称": ["height", "width", "channel"], "补充信息": { "视频.高度": 480, "视频.宽度": 640, "视频.编码格式": "av1", "视频.像素格式": "yuv420p", "视频.非深度图": false, "视频.帧率": 30, "视频.通道数": 3, "无音频流": false } }, "观测数据.图像.左侧腕部相机": { "数据类型": "视频", "形状": [480, 640, 3], "字段名称": ["height", "width", "channel"], "补充信息": { "视频.高度": 480, "视频.宽度": 640, "视频.编码格式": "av1", "视频.像素格式": "yuv420p", "视频.非深度图": false, "视频.帧率": 30, "视频.通道数": 3, "无音频流": false } }, "观测数据.图像.右侧腕部相机": { "数据类型": "视频", "形状": [480, 640, 3], "字段名称": ["height", "width", "channel"], "补充信息": { "视频.高度": 480, "视频.宽度": 640, "视频.编码格式": "av1", "视频.像素格式": "yuv420p", "视频.非深度图": false, "视频.帧率": 30, "视频.通道数": 3, "无音频流": false } }, "时间戳": { "数据类型": "float32", "形状": [1], "字段名称": null }, "帧索引": { "数据类型": "int64", "形状": [1], "字段名称": null }, "回合索引": { "数据类型": "int64", "形状": [1], "字段名称": null }, "全局索引": { "数据类型": "int64", "形状": [1], "字段名称": null }, "任务索引": { "数据类型": "int64", "形状": [1], "字段名称": null } } } ## 引用 **BibTeX格式**: bibtex [More Information Needed]
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