Home // ICAS 2015, The Eleventh International Conference on Autonomic and Autonomous Systems // View article
Support Vector Machine Learning in Multi-Robot Teams
Authors:
Nicol Naidoo
Glen Bright
Keywords: Multi–robot systems; cooperation; bottleneck; support vector machine; learning
Abstract:
In recent years, there has been a great research interest in cooperative mobile robotics. An advancement in industrial technology has seen the need for distributed applications in robotic systems where teams of robots are required to solve tasks intelligently and efficiently. Heterogeneity in robot teams adds complexity to a cooperative system since each member in the team varies in capability which determines its task abilities. The objective of this research paper is to introduce the use of a machine learning system to facilitate cooperation in multi--robot teams. Tests were performed and simulated for mobile robot cooperation in a material handling application during bottleneck conditions.
Pages: 1 to 6
Copyright: Copyright (c) IARIA, 2015
Publication date: May 24, 2015
Published in: conference
ISSN: 2308-3913
ISBN: 978-1-61208-405-3
Location: Rome, Italy
Dates: from May 24, 2015 to May 29, 2015