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Coverage Control in Multi-Robot Systems via Graph Neural Networks

Coverage Control in Multi-Robot Systems via Graph Neural Networks

30 September 2021
W. Gosrich
Siddharth Mayya
Rebecca Li
James Paulos
Mark H. Yim
Alejandro Ribeiro
Vijay Kumar
ArXiv (abs)PDFHTML

Papers citing "Coverage Control in Multi-Robot Systems via Graph Neural Networks"

19 / 19 papers shown
Title
Scalable Multi Agent Diffusion Policies for Coverage Control
Scalable Multi Agent Diffusion Policies for Coverage Control
Frederic Vatnsdal
Romina Garcia Camargo
Saurav Agarwal
Alejandro Ribeiro
128
0
0
21 Sep 2025
MAST: Multi-Agent Spatial Transformer for Learning to Collaborate
MAST: Multi-Agent Spatial Transformer for Learning to Collaborate
Damian Owerko
Frederic Vatnsdal
S. Agarwal
Vijay Kumar
Alejandro Ribeiro
77
0
0
21 Sep 2025
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence
Liekang Zeng
Shengyuan Ye
Xu Chen
Xiaoxi Zhang
Ju Ren
Jian Tang
Yang Yang
Xuemin
Shen
418
9
0
08 Jan 2025
Energy-Aware Coverage Planning for Heterogeneous Multi-Robot System
Energy-Aware Coverage Planning for Heterogeneous Multi-Robot System
Aiman Munir
Ayan Dutta
Ramviyas Parasuraman
117
1
0
04 Nov 2024
Generalizability of Graph Neural Networks for Decentralized Unlabeled
  Motion Planning
Generalizability of Graph Neural Networks for Decentralized Unlabeled Motion Planning
Shreyas Muthusamy
Damian Owerko
Charilaos I. Kanatsoulis
Saurav Agarwal
Alejandro Ribeiro
181
1
0
29 Sep 2024
Generalization of Geometric Graph Neural Networks with Lipschitz Loss Functions
Generalization of Geometric Graph Neural Networks with Lipschitz Loss FunctionsIEEE Transactions on Signal Processing (IEEE TSP), 2024
Zhiyang Wang
J. Cerviño
Alejandro Ribeiro
223
5
0
08 Sep 2024
Generalization of Graph Neural Networks is Robust to Model Mismatch
Generalization of Graph Neural Networks is Robust to Model MismatchAAAI Conference on Artificial Intelligence (AAAI), 2024
Zhiyang Wang
J. Cerviño
Alejandro Ribeiro
305
3
0
25 Aug 2024
Anchor-Oriented Localized Voronoi Partitioning for GPS-denied
  Multi-Robot Coverage
Anchor-Oriented Localized Voronoi Partitioning for GPS-denied Multi-Robot Coverage
Aiman Munir
Ehsan Latif
Ramviyas Parasuraman
102
3
0
08 Jul 2024
Graph Neural Networks Gone Hogwild
Graph Neural Networks Gone Hogwild
Olga Solodova
Nick Richardson
Deniz Oktay
Ryan P. Adams
AI4CEGNN
333
1
0
29 Jun 2024
Riemannian Optimization for Active Mapping with Robot Teams
Riemannian Optimization for Active Mapping with Robot Teams
Arash Asgharivaskasi
Fritz Girke
Nikolay Atanasov
243
7
0
28 Apr 2024
Safe Task Planning for Language-Instructed Multi-Robot Systems using
  Conformal Prediction
Safe Task Planning for Language-Instructed Multi-Robot Systems using Conformal Prediction
Jun Wang
Guocheng He
Y. Kantaros
229
10
0
23 Feb 2024
LPAC: Learnable Perception-Action-Communication Loops with Applications to Coverage Control
LPAC: Learnable Perception-Action-Communication Loops with Applications to Coverage ControlIEEE Transactions on robotics (IEEE Trans. Robot.), 2024
Saurav Agarwal
Ramya Muthukrishnan
W. Gosrich
Vijay Kumar
Alejandro Ribeiro
388
10
0
10 Jan 2024
LIVE: Lidar Informed Visual Search for Multiple Objects with Multiple
  Robots
LIVE: Lidar Informed Visual Search for Multiple Objects with Multiple Robots
Ryan Gupta
Minkyu Kim
Juliana T. Rodriguez
Kyle Morgenstein
Luis Sentis
87
0
0
06 Oct 2023
Graph learning in robotics: a survey
Graph learning in robotics: a surveyIEEE Access (IEEE Access), 2023
Francesca Pistilli
Giuseppe Averta
AI4CEGNN
181
16
0
06 Oct 2023
A Scalable Multi-Robot Framework for Decentralized and Asynchronous Perception-Action-Communication Loops
A Scalable Multi-Robot Framework for Decentralized and Asynchronous Perception-Action-Communication Loops
Saurav Agarwal
Frederic Vatnsdal
Romina Garcia Camargo
Vijay Kumar
Alejandro Ribeiro
GNN
185
1
0
18 Sep 2023
Learning to Navigate in Turbulent Flows with Aerial Robot Swarms: A
  Cooperative Deep Reinforcement Learning Approach
Learning to Navigate in Turbulent Flows with Aerial Robot Swarms: A Cooperative Deep Reinforcement Learning ApproachIEEE Robotics and Automation Letters (RA-L), 2023
Diego Patiño
Siddharth Mayya
J. Calderon
Kostas Daniilidis
David Saldaña
158
7
0
07 Jun 2023
Near-Optimal Multi-Agent Learning for Safe Coverage Control
Near-Optimal Multi-Agent Learning for Safe Coverage ControlNeural Information Processing Systems (NeurIPS), 2022
Manish Prajapat
M. Turchetta
Melanie Zeilinger
Andreas Krause
161
18
0
12 Oct 2022
Graph Neural Networks for Multi-Robot Active Information Acquisition
Graph Neural Networks for Multi-Robot Active Information AcquisitionIEEE International Conference on Robotics and Automation (ICRA), 2022
Mariliza Tzes
N. Bousias
Evangelos Chatzipantazis
George J. Pappas
GNN
180
41
0
24 Sep 2022
D2CoPlan: A Differentiable Decentralized Planner for Multi-Robot
  Coverage
D2CoPlan: A Differentiable Decentralized Planner for Multi-Robot CoverageIEEE International Conference on Robotics and Automation (ICRA), 2022
V. Sharma
Lifeng Zhou
Erfaun Noorani
126
12
0
19 Sep 2022
1