Fast-Grasp'D: Dexterous Multi-finger Grasp Generation Through Differentiable Simulation-Reference-Cited by-同舟云学术

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Fast-Grasp'D: Dexterous Multi-finger Grasp Generation Through Differentiable Simulation

Published:2023-05-29 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Robotics and Automation (ICRA)
language:
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Author:

Turpin Dylan¹,Zhong Tao¹,Zhang Shutong¹,Zhu Guanglei¹,Heiden Eric²,Macklin Miles²,Tsogkas Stavros¹,Dickinson Sven¹,Garg Animesh¹

Affiliation:

1. University of Toronto

2. Nvidia

Funder

NSERC

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10160211/10160212/10160314.pdf?arnumber=10160314

Reference61 articles.

1. Discovery of complex behaviors through contact-invariant optimization

2. Position based dynamics

3. The Columbia grasp database

4. Hand Posture Subspaces for Dexterous Robotic Grasping

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Towards Feasible Dynamic Grasping: Leveraging Gaussian Process Distance Field, SE(3) Equivariance, and Riemannian Mixture Models;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. SynH2R: Synthesizing Hand-Object Motions for Learning Human-to-Robot Handovers;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. Domain Randomization for Sim2real Transfer of Automatically Generated Grasping Datasets;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. A Review of Differentiable Simulators;IEEE Access;2024

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