@inproceedings{d8aecc1f1f9248bc911be49263e3c74b,
title = "A genetic approach to optimize the coverage performance of multiple random path-planning robots",
abstract = "This paper presents a new approach to multi-agent coverage path planning problem. This algorithm enables multiple robots with limited sensor capabilities to perform coverage efficiently over a shared territory. Each robot is assigned with an exclusive route, which enables it to carry out its cleaning process simultaneously with minimal path overlapping. The objectives of this work are (i) Identify a path for each robot such that each robot is responsible for covering a different region. In this way, there will be minimal overlap between coverage of the robots, (ii) the methods and procedures must be applicable to a group of simple mobile robots with very few sensors to guarantee their industrial interest.",
author = "Ahsan Habib and Alam, \{M. S.\} and Aldebrez, \{F. M.\} and Siddique, \{N. H.\}",
year = "2010",
language = "English",
isbn = "9814291269",
series = "Mobile Robotics: Solutions and Challenges - Proceedings of the 12th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2009",
pages = "1091--1098",
booktitle = "Mobile Robotics",
note = "12th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2009 ; Conference date: 09-09-2009 Through 11-09-2009",
}