Distributed Multi-Coverage for Robot Swarms
This paper presents a distributed multi-coverage algorithm for drone swarms that ensures redundant coverage of critical assets using only local sensing and communication, without global coordination. It is accepted at ANTS 2026.
Article intelligence
Key points
- Proposes a distributed multi-coverage algorithm that handles robot failures
- Requires only local sensing and communication, no global planning
- Accepted at the swarm intelligence conference ANTS 2026
Why it matters
This matters because proposes a distributed multi-coverage algorithm that handles robot failures.
Technical impact
May affect research directions, evaluation methods, open-source reproduction, and productization paths.
[2605.21686] Distributed Multi-Coverage for Robot Swarms
[Submitted on 20 May 2026]
Title:Distributed Multi-Coverage for Robot Swarms
View a PDF of the paper titled Distributed Multi-Coverage for Robot Swarms, by Mariem Guitouni and Aaron T. Becker
View PDF HTML (experimental)
Abstract:Autonomous drone swarms deployed for surveillance, environmental monitoring, and infrastructure inspection must maintain reliable coverage of critical assets despite robot failures. This requires multicoverage: each asset must be observed by multiple robots for redundancy, with coverage requirements varying by asset importance. While recent work has solved the centralized problem optimally using integer programming, practical deployments face constraints that demand distributed solutions: robots operate with limited communication ranges, onboard computation restricts global planning, and partial system failures must not cause mission abort. We present a distributed multicoverage algorithm for robot swarms operating with local sensing, local communication, and no global coordination.
Comments: Accepted at ANTS 2026 (International Conference on Swarm Intelligence), published by Springer Nature
Subjects:
Robotics (cs.RO)
Cite as: arXiv:2605.21686 [cs.RO]
(or arXiv:2605.21686v1 [cs.RO] for this version)
https://doi.org/10.48550/arXiv.2605.21686
arXiv-issued DOI via DataCite (pending registration)
Submission history
From: Mariem Guitouni [view email] [v1] Wed, 20 May 2026 19:43:41 UTC (347 KB)
Full-text links:
Access Paper:
View a PDF of the paper titled Distributed Multi-Coverage for Robot Swarms, by Mariem Guitouni and Aaron T. Becker
View PDF
HTML (experimental)
TeX Source
view license
Current browse context:
cs.RO
new | recent | 2026-05
Change to browse by:
cs
References & Citations
NASA ADS
Google Scholar
Semantic Scholar
Loading...
Data provided by:
Bibliographic Tools
Bibliographic and Citation Tools
Bibliographic Explorer Toggle
Bibliographic Explorer (What is the Explorer?)
Connected Papers Toggle
Connected Papers (What is Connected Papers?)
Litmaps Toggle
Litmaps (What is Litmaps?)
scite.ai Toggle
scite Smart Citations (What are Smart Citations?)
Code, Data, Media
Code, Data and Media Associated with this Article
alphaXiv Toggle
alphaXiv (What is alphaXiv?)
Links to Code Toggle
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub Toggle
DagsHub (What is DagsHub?)
GotitPub Toggle
Gotit.pub (What is GotitPub?)
Huggingface Toggle
Hugging Face (What is Huggingface?)
ScienceCast Toggle
ScienceCast (What is ScienceCast?)
Demos
Demos
Replicate Toggle
Replicate (What is Replicate?)
Spaces Toggle
Hugging Face Spaces (What is Spaces?)
Spaces Toggle
TXYZ.AI (What is TXYZ.AI?)
Related Papers
Recommenders and Search Tools
Link to Influence Flower
Influence Flower (What are Influence Flowers?)
Core recommender toggle
CORE Recommender (What is CORE?)
Author
Venue
Institution
Topic
About arXivLabs
arXivLabs: experimental projects with community collaborators
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)