devans-tech/GraspTwin
GraspTwin benchmark scenes Digital twins of real tabletop scenes for language-conditioned grasping: one reconstructed .glb mesh per object, the object poses needed to rebuild each scene in simulation, and the natural-language tasks with their target objects. 9 scenes, 5 subscenes each (45 subscenes total) 8 household objects per subscene (scene_8_4 has 10) 10 natural-language tasks per scene, each tied to a target object about 2.6 GB of meshes Layout scene_N/… See the full description on the dataset page: https://huggingface.co/datasets/devans-tech/GraspTwin.
| Author / organization | devans-tech |
|---|---|
| License (as declared) | mit |
| Downloads | 0 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 16 October 2026 |
| Last updated at source | 16 October 2026 |
Recent changes
- 16 Oct 2026 Description: GraspTwin benchmark scenes Real tabletop scenes captured for language-conditioned grasping, each paired with a digital twin: one reconstructed .glb mesh per object plus the object poses needed to rebuild the scene in simulation. 9 scenes, 5 → GraspTwin benchmark scenes Digital twins of real tabletop scenes for language-conditioned grasping: one reconstructed .glb mesh per object, the object poses needed to rebuild each scene in simulation, and the natural-language tasks with the
- 16 Oct 2026 Topics removed point-cloud
- 16 Oct 2026 Description: none → GraspTwin benchmark scenes Real tabletop scenes captured for language-conditioned grasping, each paired with a digital twin: one reconstructed .glb mesh per object plus the object poses needed to rebuild the scene in simulation. 9 scenes, 5
- 16 Oct 2026 Topics added task_categories:robotics, grasping, manipulation, language-conditioned, 3d, meshes, point-cloud, digital-twin
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