@inproceedings{be5a7e2040324e42bcd358e4171be009,
title = "Sensor fusion and decision-making in the cooperative search by mobile robots",
abstract = "The paper addresses the problem of probabilistic search and detection of multiple targets by the group of mobile robots that are equipped by a variety of sensors and are communicating with each other at different levels. The goal is to define the trajectories of the robots in the group such that the targets are chased in minimal time. The suggested solution model follows the occupancy grid approach, and sensor fusion is implemented using a general Bayesian scheme with varying sensitivity of the sensors. The created control algorithm was verified in three settings with different levels of communication and information sharing between the robots and different levels of sensors' sensitivity. The suggested algorithms were implemented in a software simulation to analyze and compare the different policies.",
keywords = "Bayesian Scheme, Mobile Robots, Multi-robot Systems, Probabilistic Search, Sensor Fusion, Swarm Dynamics",
author = "Barouch Matzliach and Irad Ben-Gal and Evgeny Kagan",
note = "Publisher Copyright: Copyright {\textcopyright} 2020 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved; 12th International Conference on Agents and Artificial Intelligence, ICAART 2020 ; Conference date: 22-02-2020 Through 24-02-2020",
year = "2020",
language = "אנגלית",
series = "ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence",
pages = "119--126",
editor = "Ana Rocha and Luc Steels and \{van den Herik\}, Jaap",
booktitle = "ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence",
}