Genetic Based Motion Planning and Evaluation for the B12 Mobile Robotic System

Abstract

Motion Planning for mobile robots is concerned with providing a feasible and efficient path to accomplish a given task. Although many solutions may exist, a condition for obtaining the best (or near best)option may be imposed by the user, where a criterion in terms of the total distance traversed, energy expended or minimum execution time must be achieved. The planning procedure is made more complicated if the robot has to detect and avoid static or dynamic objects in the workcell.

Metadata

Item Type:	Monograph
Authors/Creators:	Leung, C.H. Zalzala, A.M.S.
Copyright, Publisher and Additional Information:	The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances.
Dates:	Published: 1993
Institution:	The University of Sheffield
Academic Units:	The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) > ACSE Research Reports
Depositing User:	MRS ALISON THERESA BARNETT
Date Deposited:	19 Jun 2014 11:50
Last Modified:	26 Oct 2016 04:18
Status:	Published
Publisher:	Department of Automatic Control and Systems Engineering
Series Name:	ACSE Research Report 493
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:79447

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Genetic Based Motion Planning and Evaluation for the B12 Mobile Robotic System

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