Learning Robot Structure and Motion Embeddings using Graph Neural Networks

15 September 2021

Papers citing "Learning Robot Structure and Motion Embeddings using Graph Neural Networks"

6 / 6 papers shown

Title
Learning Differentiable Tensegrity Dynamics using Graph Neural NetworksConference on Robot Learning (CoRL), 2024 Nelson Chen Kun Wang William R. Johnson III Rebecca Kramer-Bottiglio Kostas Bekris Mridul Aanjaneya AI4CE 229 2 0 16 Oct 2024
CafkNet: GNN-Empowered Forward Kinematic Modeling for Cable-Driven Parallel Robots Zeqing Zhang Linhan Yang Cong Sun Weiwei Shang Jia Pan 210 4 0 28 Feb 2024
Efficient Learning of Fast Inverse Kinematics with Collision AvoidanceIEEE-RAS International Conference on Humanoid Robots (Humanoids), 2023 Johannes Tenhumberg Arman Mielke Berthold Bäuml 123 4 0 10 Nov 2023
Direct and inverse modeling of soft robots by learning a condensed FEM modelIEEE International Conference on Robotics and Automation (ICRA), 2023 Etienne Ménager Tanguy Navez O. Goury Christian Duriez AI4CE 111 8 0 21 Jul 2023
GLSO: Grammar-guided Latent Space Optimization for Sample-efficient Robot Design AutomationConference on Robot Learning (CoRL), 2022 Jiaheng Hu Julian Whiman Howie Choset 175 22 0 23 Sep 2022
Graph Neural Networks in IoT: A Survey Guimin Dong Mingyue Tang Zhiyuan Wang Jiechao Gao Sikun Guo Lihua Cai Robert Gutierrez Brad Campbell Laura E. Barnes M. Boukhechba GNN AI4CE 198 139 0 29 Mar 2022