mlsanityData to 7 Oct 2026

CoCo Games: Graphical Game-Theoretic Swarm Control for Communication-Aware Coverage

arXiv 2111.04576 ↗First posted 8 Nov 2021cs.RO cs.AI cs.SYcited by 2

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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

  1. 2013Graphical Models for Game Theorycited by 21
  2. 2020Mobile Wireless Network Infrastructure on Demandcited by 6
  3. 2016UAV-Assisted Heterogeneous Networks for Capacity Enhancementcited by 2
  4. 2015Graphical Potential Gamescited by 1
  5. 2016Correlated Equilibria for Approximate Variational Inference in MRFscited by 1
  6. 2021Online Flocking Control of UAVs with Mean-Field Approximationcited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 1; 2024: 0; 2025: 0; 2026: 1.

2 papers.