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Diffusion Policy
A visuomotor policy approach using diffusion to generate robot actions.
Robot policies
Models / Research
Contact-GraspNet
Grasp-prediction tools using 3D contact and geometry observations.
Overview
Grasp-prediction tools using 3D contact and geometry observations.
Compare observation inputs, action representations, adaptation data and inference requirements. Code licensing and model-weight licensing may differ; review both before deployment. A source repository may have an open code license while its checkpoints have separate terms.
Project information
- Maintainer
- NVlabs
- Primary language
- Python
- Repository code license
- Not specified
- Model-weight license
- Not recorded
- Dataset license
- Not recorded
- Hardware design license
- Not recorded
- Maintenance
- Not archived in the last recorded metadata
- Last observed repository push
- 2024-11-21
Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.
Documentation sections
- Contact-GraspNet
- Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes
- Installation
- Troubleshooting
- Hardware
- Download Models and Data
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