HGC-Net: Deep Anthropomorphic Hand Grasping in Clutter

Author:

Li Yiming1,Wei Wei1,Li Daheng1,Wang Peng1,Li Wanyi1,Zhong Jun1

Affiliation:

1. Institute of Automation, Chinese Academy of Sciences,Beijing,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Reference36 articles.

1. PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud

2. Pointnet++: Deep hierarchical feature learning on point sets in a metric space;qi;ArXiv Preprint,2017

3. Blenderproc;denninger;ArXiv Preprint,2019

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1. Learning Realistic and Reasonable Grasps for Anthropomorphic Hand in Cluttered Scenes;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. Learning Human-Like Functional Grasping for Multifinger Hands From Few Demonstrations;IEEE Transactions on Robotics;2024

3. Taylor Neural Network for Unseen Object Instance Segmentation in Hierarchical Grasping;IEEE/ASME Transactions on Mechatronics;2024

4. Position‐aware pushing and grasping synergy with deep reinforcement learning in clutter;CAAI Transactions on Intelligence Technology;2023-08-02

5. CMG-Net: An End-to-End Contact-based Multi-Finger Dexterous Grasping Network;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29

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