Connectivity Maintenance: Global and Optimized approach through Control Barrier Functions
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Abstract (arXiv)
Connectivity maintenance is an essential aspect to consider while controlling a multi-robot system. In general, a multi-robot system should be connected to obtain a certain common objective. Connectivity must be kept regardless of the control strategy or the objective of the multi-robot system. Two main methods exist for connectivity maintenance: keep the initial connections (local connectivity) or allow modifications to the initial connections, but always keeping the overall system connected (global connectivity). In this paper we present a method that allows, at the same time, to maintain global connectivity and to implement the desired control strategy (e.g., consensus, formation control, coverage), all in an optimized fashion. For this purpose, we defined and implemented a Control Barrier Function that can incorporate constraints and objectives. We provide a mathematical proof of the method, and we demonstrate its versatility with simulations of different applications.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 23 Mar 2020.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 0; 2025: 0; 2026: 1.
3 papers.
- 2021Decentralized Global Connectivity Maintenance for Multi-Robot Navigation: A Reinforcement Learning Approachcited by 1
- 2023Epistemic Prediction and Planning with Implicit Coordination for Multi-Robot Teams in Communication Restricted Environmentscited by 1
- 2026WONDER: A Radio World Model-based Negotiation Framework for Multi-Agent UAV Coverage Optimizationcited by 0
- 2026WONDER: A Radio World Model-based Negotiation Framework for Multi-Agent UAV Coverage Optimization16 Aug 2026
- 2023Epistemic Prediction and Planning with Implicit Coordination for Multi-Robot Teams in Communication Restricted Environments21 Feb 2023
- 2021Decentralized Global Connectivity Maintenance for Multi-Robot Navigation: A Reinforcement Learning Approach17 Sep 2021