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midea-ai / CMG-Net

[ICRA 2023] CMG-Net: An End-to-End Contact-based Multi-Finger Dexterous Grasping Network
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Codes for dataset generation #1

Open ZhenningZhou opened 1 year ago

ZhenningZhou commented 1 year ago

This is really a great work!

The Three-Finger grasping has significant advantages over the antipodal grasping in stability and force optimal.

Could the author add the codes for dataset generation? (such as the grasp sampling, grasp evaluation and grasp scene generation)

This is very important for researchers who want to learn and implement this project.

Thank you so much for your work!

RealFaith commented 1 year ago

Thank you for your interest in our project! We appreciate your attention. We are glad to hear that you find our work valuable. We will share our code for grasping dataset generation as soon as possible. Once again, thank you for your interest and patience, and we look forward to providing the code for relevent research.

CodingCatMountain commented 2 weeks ago

@RealFaith Hi, May I ask that have you uploaded the code corresponding to grasping dataset generation? We are very interesting in this part.