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The First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006. BioRob 2006.

DOI: 10.1109/biorob.2006.1639150

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A Biologically-Inspired Algorithm Implemented on a new Highly Flexible Multi-Agent Platform for Gas Source Localization

Proceedings article published in 1 by G. Ferri, E. Caselli, V. Mattoli ORCID, A. Mondini, B. Mazzolai ORCID, P. Dario
This paper is available in a repository.
This paper is available in a repository.

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Abstract

This paper presents the design of a biologically-inspired algorithm, as well as the design and development of a new highly flexible multi-agent platform for a cooperative robotic system, to be applied to the localization of a gas source in an indoor environment with no strong airflow. The platform consists of a central PC and a variable number of robots. The robots cooperate, can communicate with each other, even when exchanging complex messages, and present a swarm-like behavior, which optimizes the gas localization task. The inexpensive, multipurpose, scalable, highly flexible platform whose use is discussed in this paper investigates the efficiency of bio-inspired cooperative algorithms, to detect the odor source location