@inproceedings{3319d1a7eeba410183d76c9937127a75,
title = "Collective L{\'e}vy walk for efficient exploration in unknown environments",
abstract = "One of the key tasks of autonomous mobile robots is to explore the unknown environment under limited energy and deadline conditions. In this paper, we focus on one of the most efficient random walks found in the natural and biological system, i.e., L{\'e}vy walk. We show how L{\'e}vy properties disappear in larger robot swarm sizes because of spatial interferences and propose a novel behavioral algorithm to preserve L{\'e}vy properties at the collective level. Our initial findings hold potential to accelerate target search processes in large unknown environments by parallelizing L{\'e}vy exploration using a group of robots.",
keywords = "L{\'e}vy walk, Multi-robot systems, Random walks, Swarm robotics",
author = "Yara Khaluf and {Van Havermaet}, Stef and Pieter Simoens",
year = "2018",
doi = "10.1007/978-3-319-99344-7_24",
language = "English",
isbn = "9783319993430",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "260--264",
editor = "{van Genabith}, Josef and Gennady Agre and Thierry Declerck",
booktitle = "Artificial Intelligence",
address = "Germany",
note = "18th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2018 ; Conference date: 12-09-2018 Through 14-09-2018",
}