Graph Neural Networks for Interpretable Tactile Sensing
Author:
Affiliation:
1. University of Bristol,Dept. of Engineer Mathematics,Bristol,UK
2. University of Bristol,Dept. of Computer Science,Bristol,UK
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9911058/9911059/09911130.pdf?arnumber=9911130
Reference18 articles.
1. TactileGCN: A Graph Convolutional Network for Predicting Grasp Stability with Tactile Sensors
2. Semi-supervised classification with graph convolutional networks;kipf;5th International Conference on Learning Representations,2017
3. Inductive representation learning on large graphs;hamilton;Advances in neural information processing systems,2017
4. Graph attention networks;velickovic;International Conference on Learning Representations,2018
5. Graph Transformation Policy Network for Chemical Reaction Prediction
Cited by 2 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. Tactile Object Property Recognition Using Geometrical Graph Edge Features and Multi-Thread Graph Convolutional Network;IEEE Robotics and Automation Letters;2024-04
2. Tac-VGNN: A Voronoi Graph Neural Network for Pose-Based Tactile Servoing;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29
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