Abstract
Nowadays, achieving a certain level of agility in a manufacturing system represents a step forward in the direction of Industry 4.0. As material handling is a very important aspect of production systems, the use of Autonomous Mobile Robots (AMR) has started to gain increasing popularity in the manufacturing domain. This paper focuses on two main problems. The first one is the study related to the agility requirements for a continuous changing demand in a shopfloor with focus on the material handling solutions, considered as the best for agility: the Autonomous Mobile Robots. The second problem addressed in this paper is the actual implementation, on a robot prototype with the help of a Particle Swarm Optimization algorithm for the robot path planning and sliding mode control for path tracking.
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Flayfel, J., Demesure, G., El-Haouzi, H.B. (2022). Contribution of the Omnidirectional Autonomous Mobile Robot to Manufacturing Systems Agility. In: Borangiu, T., Trentesaux, D., Leitão, P., Cardin, O., Joblot, L. (eds) Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future. SOHOMA 2021. Studies in Computational Intelligence, vol 1034. Springer, Cham. https://doi.org/10.1007/978-3-030-99108-1_31
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