Ulster University Logo

Ulster Institutional Repository

Coordinated Traffic Scheduling for Communicating Mobile Robots

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Ray, Anjan, McGinnity, TM, Behera, Laxmidhar, Coleman, SA and Jamshidi, Mo (2011) Coordinated Traffic Scheduling for Communicating Mobile Robots. In: 6th Int Conference on Systems of Systems Engineering IEEE SOSE 2011, Albuquerque New Mexico USA. IEEE. 6 pp. [Conference contribution]

Full text not available from this repository.

URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5966618

DOI: 10.1109/SYSOSE.2011.5966618

Abstract

In this paper, a multi-robot networking paradigm is presented. This provides a general framework for coordination among a group of robots. An experiment is conducted showingthe effectiveness of the developed network paradigm where a robot controls a group of robots. A coordinated traffic scheduling method is proposed for mobile robots. The aim is to build onboard knowledge for autonomous robots without ranging sensors (sonar or laser range finder) and/or cameras. In this work, more emphasis is given on the exploration of interactions between a pair of robots. The robots share their positions,orientations and safety information and the decision of a robot depends on interactions of the forward safe paths (FSPs) of these robots. The properties of intersection of two straight lines are used to classify different situations. The proposed method is discussed in details with various combinations of scenarios. Simulation results are presented to show the effectiveness of the proposed method.Anjan Kumar Ray ∗, Martin McGinnity ∗, Laxmidhar Behera †, Sonya Coleman ∗, Mo Jamshidi ‡

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:19381
Deposited By:Professor Martin McGinnity
Deposited On:09 Aug 2011 10:27
Last Modified:09 Aug 2011 10:27

Repository Staff Only: item control page