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Proceedings of the 17th International Conference on Manufacturing Systems – ICMaS
Published by Editura Academiei Române, ISSN 1842-3183
Volume No. 3, 2008
University POLITEHNICA of Bucharest, Machine and Manufacturing Systems Department
Bucharest, Romania, 13-14 November, 2008
pp. 093-096
THE MONTE CARLO SIMULATION FOR THE PARALLEL ROBOTS
Cristina IBRAIM, Ramona Cristina VARBAN, Nicolae PREDINCEA
Abstract: Monte Carlo simulation is a stochastic technique used to solve mathematical problems. The word "stochastic" means that it uses random numbers and probability statistics to obtain an answer. Monte Carlo methods have been used for centuries, but only in the past several decades has the technique gained the status of a full-fledged numerical method capable of addressing the most complex applications.
Keywords: parallel robot, Monte Carlo simulation, accuracy, Gauss distribution, workspace.
Authors:
Eng., Cristina IBRAIM, Concepteur CAO, Renault Technologie Roumanie S.R.L.,
E-mail: cristina_ibraim@yahoo.com
Eng., Ramona Cristina VARBAN, PhD Student, "Politehnica" University of Bucharest, Faculty of Engineering and Management of Technological Systems, Machines and Production Systems Department,
E-mail: crissram@yahoo.com
Ph.D. Eng., Nicolae PREDINCEA, Professor, "Politehnica" University of Bucharest, Faculty of Engineering and Management of Technological Systems, Machines and Production Systems Department,
E-mail: nicolaepredincea@yahoo.c
Electronic mail: orgcom@icmas.eu / General Information: http://www.edition2009.icmas.eu/