Annals of Computer Science and Information Systems, Volume 11

DOI: http://dx.doi.org/10.15439/2017F154

Citation: Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 11, pages 587–596 (2017)

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Abstract. This paper addresses the modeling of modular and reconfigurable transportation systems, aiming at developing tools to support the planning and control. Answer Set Programming (ASP) is employed to formalize rules modeling the characteristic of a transportation system and describing its dynamics. Then, automatic reasoning can be exploited to find solutions in different use cases, including the generation of optimal or alternative paths, the generation and validation of control sequences. The proposed methodology is applied to a reconfigurable industrial transportation system consisting of multiple linear conveyor modules with actuators enabling longitudinal and transversal movements of pallets.

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