CoCo Games: Graphical Game-Theoretic Swarm Control for Communication-Aware Coverage
Not on the map. Why?
Abstract (arXiv)
We propose a novel framework for real-time communication-aware coverage control in networked robot swarms. Our framework unifies the robot dynamics with network-level message-routing to reach consensus on swarm formations in the presence of communication uncertainties by leveraging local information. Specifically, we formulate the communication-aware coverage as a cooperative graphical game, and use variational inference to reach mixed strategy Nash equilibria of the stage games. We experimentally validate the proposed approach in a mobile ad-hoc wireless network scenario using teams of aerial vehicles and terrestrial user equipment (UE) operating over a large geographic region of interest. We show that our approach can provide wireless coverage to stationary and mobile UEs under realistic network conditions.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 6 of its 32 references that are in the map. First posted on arXiv 8 Nov 2021.
Builds on
6 of 32 references.
References · 6
- 2013Graphical Models for Game Theorycited by 21
- 2020Mobile Wireless Network Infrastructure on Demandcited by 6
- 2016UAV-Assisted Heterogeneous Networks for Capacity Enhancementcited by 2
- 2015Graphical Potential Gamescited by 1
- 2016Correlated Equilibria for Approximate Variational Inference in MRFscited by 1
- 2021Online Flocking Control of UAVs with Mean-Field Approximationcited by 1
Built on by
Citing papers per year: 2023: 1; 2024: 0; 2025: 0; 2026: 1.
2 papers.