LEMURS: Learning Distributed Multi-Robot Interactions
Author:
Affiliation:
1. RoPeRt group, at DIIS - I3A, Universidad de Zaragoza,Spain
2. University of California San Diego,Department of Electrical and Computer Engineering,La Jolla,CA,USA,92093
Funder
NSF
ONR global
AEI
ERDF
European Union
DGA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10160211/10160212/10161328.pdf?arnumber=10161328
Reference37 articles.
1. Communication Topology Co-Design in Graph Recurrent Neural Network based Distributed Control
2. The matching conditions of controlled Lagrangians and IDA-passivity based control
3. Multi-Robot Coverage and Exploration using Spatial Graph Neural Networks
4. Flocking for Multi-Agent Dynamic Systems: Algorithms and Theory
5. Distributed neural network control with dependability guarantees: a compositional port-hamiltonian approach;furieri;Learning for Dynamics and Control Conference,0
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. Port-Hamiltonian Neural ODE Networks on Lie Groups for Robot Dynamics Learning and Control;IEEE Transactions on Robotics;2024
2. Learning to Identify Graphs from Node Trajectories in Multi-Robot Networks;2023 International Symposium on Multi-Robot and Multi-Agent Systems (MRS);2023-12-04
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