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Communication-Aware Multi-robot Coordination with Submodular Maximization
Conference proceeding   Open access

Communication-Aware Multi-robot Coordination with Submodular Maximization

Guangyao Shi, Ishat E Rabban, Lifeng Zhou and Pratap Tokekar
2021 IEEE International Conference on Robotics and Automation (ICRA), v 2021-, pp 8955-8961
30 May 2021
url
https://arxiv.org/abs/2011.01476View

Abstract

Drives Heuristic algorithms Maintenance engineering Minimization Numerical simulation Robot kinematics Target tracking
Submodular maximization has been widely used in many multi-robot task planning problems including information gathering, exploration, and target tracking. However, the interplay between submodular maximization and communication is rarely explored in the multi-robot setting. In many cases, maximizing the submodular objective may drive the robots in a way so as to disconnect the communication network. Driven by such observations, in this paper, we consider the problem of maximizing submodular function with connectivity constraints. Specifically, we propose a problem called Communication-aware Submodular Maximization (CSM), in which communication maintenance and submodular maximization are jointly considered in the decision-making process. One heuristic algorithm that consists of two stages, i.e. topology generation and deviation minimization is proposed. We validate the formulation and algorithm through numerical simulation. We find that our algorithm on average suffers only slightly performance decrease compared to the pure greedy strategy.

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6 citations in Scopus

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Collaboration types
Domestic collaboration
Web of Science research areas
Automation & Control Systems
Robotics
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