TacGNN: Learning Tactile-based In-hand Manipulation with a Blind Robot using Hierarchical Graph Neural Network

Linhan Yang1; Bidan Huang2; Qingbiao Li3; Ya-Yen Tsai4; Wang Wei Lee2; Chaoyang Song5; Jia Pan6

2023

10.1109/LRA.2023.3264759

IEEE Robotics and Automation Letters   Impact Factor & Quartile

2377-3774

Dexterous Manipulation Force and Tactile Sensing Representation Learning Reinforcement Learning

First

IEEE

1.Department of Mechanical and Energy Engineering, Southern University of Science and Technology, China
2.Tencent Robotics X, China
3.Department of Computer Science and Technology, University of Cambridge, Cambridge, U.K.
4.Hamlyn Centre for Robotic Surgery, Department of Computing, Imperial College London, London, U.K.
5.Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China
6.Department of Computer Science, University of Hong Kong, Hong Kong

Linhan Yang,Bidan Huang,Qingbiao Li,et al. TacGNN: Learning Tactile-based In-hand Manipulation with a Blind Robot using Hierarchical Graph Neural Network[J]. IEEE Robotics and Automation Letters,2023,PP(99):1-8.

Linhan Yang.,Bidan Huang.,Qingbiao Li.,Ya-Yen Tsai.,Wang Wei Lee.,...&Jia Pan.(2023).TacGNN: Learning Tactile-based In-hand Manipulation with a Blind Robot using Hierarchical Graph Neural Network.IEEE Robotics and Automation Letters,PP(99),1-8.

Linhan Yang,et al."TacGNN: Learning Tactile-based In-hand Manipulation with a Blind Robot using Hierarchical Graph Neural Network".IEEE Robotics and Automation Letters PP.99(2023):1-8.