Frontier-Based Exploration for Multi-Robot Rendezvous in Communication-Restricted Unknown Environments

Multi-robot rendezvous and exploration are fundamental challenges in the domain of mobile robotic systems. This paper addresses multi-robot rendezvous within an initially unknown environment where communication is only possible after the rendezvous. Traditionally, exploration has been focused on rapidly mapping the environment, often leading to suboptimal rendezvous performance in later stages. We adapt a standard frontier-based exploration technique to integrate exploration and rendezvous into a unified strategy, with a mechanism that allows robots to re-visit previously explored regions thus enhancing rendezvous opportunities. We validate our approach in 3D realistic simulations using ROS, showcasing its effectiveness in achieving faster rendezvous times compared to exploration strategies.

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Publication Details

Published
2024-10-14
DOI
https://doi.org/10.1109/iros58592.2024.10801321
Citations
4
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
1.00
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article

Frontier-Based Exploration for Multi-Robot Rendezvous in Communication-Restricted Unknown Environments

Matteo Luperto, Michele Antonazzi, Nicola Basilico, Mauro Tellaroli
4 citations
Robotic Path Planning Algorithms
1.00
article

Frontier-Based Exploration for Multi-Robot Rendezvous in Communication-Restricted Unknown Environments

Matteo Luperto, Michele Antonazzi, Nicola Basilico, Mauro Tellaroli
article en
4 citations

Abstract

Multi-robot rendezvous and exploration are fundamental challenges in the domain of mobile robotic systems. This paper addresses multi-robot rendezvous within an initially unknown environment where communication is only possible after the rendezvous. Traditionally, exploration has been focused on rapidly mapping the environment, often leading to suboptimal rendezvous performance in later stages. We adapt a standard frontier-based exploration technique to integrate exploration and rendezvous into a unified strategy, with a mechanism that allows robots to re-visit previously explored regions thus enhancing rendezvous opportunities. We validate our approach in 3D realistic simulations using ROS, showcasing its effectiveness in achieving faster rendezvous times compared to exploration strategies.

University of Milan (IT)
Openalex Percentile: Top 22%
Robotic Path Planning Algorithms
1.00
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