DexGraspNet: A Large-Scale Robotic Dexterous Grasp Dataset for General Objects Based on Simulation-Reference-Cited by-同舟云学术

DexGraspNet: A Large-Scale Robotic Dexterous Grasp Dataset for General Objects Based on Simulation

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

Author:

Wang Ruicheng¹,Zhang Jialiang¹,Chen Jiayi¹,Xu Yinzhen¹,Li Puhao²,Liu Tengyu²,Wang He¹

Affiliation:

1. Peking University

2. Beijing Institute for General Artificial Intelligence

Funder

National Key R&D Program of China

Beijing Municipal Science & Technology Commission

Publisher

IEEE

Link

Reference65 articles.

1. Gpu-accelerated robotic simulation for distributed reinforce-ment learning;liang;Conference on Robot Learning,2018

Cited by 13 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

3. A Surprisingly Efficient Representation for Multi-Finger Grasping;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

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

5. GrainGrasp: Dexterous Grasp Generation with Fine-grained Contact Guidance;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13