DeformableObjectsGrasping / metadata.json
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{
"name": "DeformableObjectsGrasping",
"url": [
"https://huggingface.co/datasets/KelinYu1/DeformableObjectsGrasping"
],
"version": "1.0.0",
"description": "Vision-tactile recordings of pinch and slide interactions with deformable fruits using a custom gripper. Each episode contains synchronized RealSense RGB frames and one exported GelSight tactile stream from a sensor pad on one gripper jaw; no second tactile channel is included in this OXT release. No synchronized gripper aperture, joint-state, wrist-pose, or action trajectory is available, so no hand_joints or hand_joints_idx field is exported and no missing state is synthesized. This OXT conversion includes apple, lemon, orange, plum, and tomato interactions and intentionally omits the non-frame-aligned source position, force, and outcome-label fields.",
"type": "gripper",
"sensor_image": [
"GelSight"
],
"sensor_array": [],
"sensor_state": [],
"label": [],
"task": 2,
"trajectory": 1266,
"frame": 37980,
"contact": [
"Kelin Yu, kyu85@umd.edu"
],
"reference": {
"paper": "Learning Generalizable Vision-Tactile Robotic Grasping Strategy for Deformable Objects via Transformer",
"website": "https://arxiv.org/abs/2112.06374",
"authors": "Yunhai Han*, Kelin Yu*, Rahul Batra, Nathan Boyd, Chaitanya Mehta, Tuo Zhao, Yu She, Seth Hutchinson, Ye Zhao"
},
"code_trigger": "DeformableObjectsGrasping"
}