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observation.state
list
action
list
observation.tracker_confidence
list
timestamp
float32
0
29.1
frame_index
int64
0
873
episode_index
int64
0
9
index
int64
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6.2k
task_index
int64
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End of preview. Expand in Data Studio
Xense Robotics

Xense Robotics dataset overview: representative frames from TacVerse's bimanual visuo-tactile demonstrations.

TacVerse collection and processing pipeline

TacVerse is collected with XTac-UMI-G1 handheld grippers, processed by TacFlow-Engine, and released as standard LeRobot datasets.

This dataset was created using LeRobot.

Explore this dataset with the LeRobot Dataset Viewer.

Dataset Structure

meta/info.json:

{
    "codebase_version": "v3.0",
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    "total_episodes": 10,
    "total_frames": 6204,
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    "fps": 30,
    "splits": {
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                "left_tcp.r2",
                "left_tcp.r3",
                "left_tcp.r4",
                "left_tcp.r5",
                "left_tcp.r6",
                "left_gripper.pos",
                "right_tcp.x",
                "right_tcp.y",
                "right_tcp.z",
                "right_tcp.r1",
                "right_tcp.r2",
                "right_tcp.r3",
                "right_tcp.r4",
                "right_tcp.r5",
                "right_tcp.r6",
                "right_gripper.pos",
                "head.x",
                "head.y",
                "head.z",
                "head.r1",
                "head.r2",
                "head.r3",
                "head.r4",
                "head.r5",
                "head.r6"
            ],
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                "left_tcp.r2",
                "left_tcp.r3",
                "left_tcp.r4",
                "left_tcp.r5",
                "left_tcp.r6",
                "left_gripper.pos",
                "right_tcp.x",
                "right_tcp.y",
                "right_tcp.z",
                "right_tcp.r1",
                "right_tcp.r2",
                "right_tcp.r3",
                "right_tcp.r4",
                "right_tcp.r5",
                "right_tcp.r6",
                "right_gripper.pos",
                "head.x",
                "head.y",
                "head.z",
                "head.r1",
                "head.r2",
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                "head.r4",
                "head.r5",
                "head.r6"
            ],
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        },
        "observation.tracker_confidence": {
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        },
        "observation.images.left_wrist": {
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        },
        "observation.images.right_tactile_right": {
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            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "video.height": 400,
                "video.width": 700,
                "video.codec": "h264",
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                "video.is_depth_map": false,
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        },
        "observation.images.right_wrist": {
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        },
        "timestamp": {
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        },
        "frame_index": {
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        },
        "episode_index": {
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        },
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        },
        "task_index": {
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        }
    }
}

Sensor key map

Sensor key map — each image stream keyed to its physical mount

Tactile keys map to fingertip sensors; wrist keys to gripper cameras; head keys to the headset's stereo eyes.

Citation

BibTeX:

@misc{tacverse2026,
  title        = {TacVerse: A Large-Scale Bimanual Visuo-Tactile Manipulation Dataset},
  author       = {Xense Robotics},
  year         = {2026},
  howpublished = {\url{https://huggingface.co/datasets/TacVerse/TacVerse}},
  note         = {Collected with the XTac-UMI-G1 handheld gripper and Xense Neutron visuotactile sensors}
}
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