Automated Guided Vehicles (AGV): Searching a Path in the Flexible Manufacturing Systems

Open access

Automated Guided Vehicles (AGV): Searching a Path in the Flexible Manufacturing Systems

Manufacturing systems are undergoing a noticeable evolution due to an intense technological progress in industrial robotics. Serial production has evolved into the concept of Flexible Manufacturing Systems (FMS), which encapsulate processes in automatic equipment that are capable of executing different operations, that before be performed in several stages and diverse equipments. Automated Guided Vehicle (AGV) systems have been frequently used as material handling equipment in manufacturing systems since the last two decades. Particularly, AGV's with trailers are, and will continue to be, the backbone of the material transport industry. The use of these systems has taken the attention of experts and researchers. They are numerous studies concerning AGV with trailers systems in literature; few of them deal with the adaptation of these systems into FMS. In this paper, a study of the trajectories and a simulation model of a hypothetical system, which included a FMS environment, were developed. In addition, a potential field's method was explored in order to improve the ability of detecting obstacles in AGV's with trailers moving through stations.

Borenstein J., Koren Y., "Real-time obstacle avoidance for fast mobile robots", IEEE Transactions on Systems, Man and Cybernetics, Vol. 19, No. 5, pp. 1179 - 1187, 1989.

Bushnell L.G., Tilbury D.M., Sastry S.S., "Steering three-input nonholonomic systems: the fire truck example", International Journal of Robotics Research, Vol. 14, pp. 366-381, 1995.

Chengqing L., Ang Jr. M.H., Krishnan H., Yong L.S., "Virtual Obstacle Concept for Local Minimum Recovery in Potential Field Based Navigation", Proceedings of the 2000 IEEE International Conference on Robotics and Automation, Vol. 2, pp. 983-988, 2000.

França F.M.G., "Neural Networks as Neighborhood-Constrained Systems", PhD. Thesis, Imperial College, London, England, 1994.

Khatib O., "Real-Time Obstacle Avoidance for Manipulators and Mobile Robots", In: Proceedings IEEE International Conference on Robotics and Automation, Vol. 2, pp. 500-505, 1985.

Lamiraux F., Laumond J.-P., "A Practical Approach to Feedback Control for a Mobile Robot with Trailer", In: Proc. of the IEEE Int. Conf. on Robotics & Automation, Belgium, pp. 3291-3296, 1998.

Latombe J.C., Robot Motion Planning, Kluwer Academic Publishers, 1991

Laumond J.-P., Robot Motion Planning and Control, New York, Springer-Verlag, 1998.

Lavalle S.M., Planning Algorithms, Cambridge University Press, 2006.

Le-Anh T., De Koster M., "A review of design and control of automated guided vehicle systems", European Journal of Operational Research, Vol. 171, No. 1, pp. 1-23, 2006.

Lengerke O., Dutra M.S., "Projetos Mecatrônicos: Na Indústria e na Academia", In: Proc. III Workshop Cooperação Universidade Empresa: Inovação Tecnológica, Taubaté, São Paulo, Brasil, 2007.

Lengerke O., Trajano A.A., Dutra M.S., Morado F., "Método do Campo Potencial Virtual Modificado para Geração de Caminho com Obstáculos Poligonais". In: 8° Congreso Iberoamericano de Ingeniería Mecánica - CIBIM8 - Cusco-Perú, 2007.

Murray R.M., Sastry S.S., "Nonholonomic Motion Planning: Steering Using Sinusoids", IEEE Transactions on Automatic Control, Vol. 38, No. 5, pp. 700-716, 1993.

Reveliotis S.A., "Conflict resolution in AGV systems". IIE Transactions Vol. 32, No. 7, Springer, pp. 647-659, 2000.

Winkler C.B., "Rollover of Heavy Commercial Vehicles", UMTRI Research Review, University of Michigan Transportation Research Institute, v. 31, n. 4, 2000.

Journal of KONBiN

The Journal of Air Force Institute of Technology

Journal Information

CiteScore 2016: 0.15

SCImago Journal Rank (SJR) 2015: 0.182
Source Normalized Impact per Paper (SNIP) 2015: 0.324


All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 123 123 22
PDF Downloads 58 58 7