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Application of mobile robotics concepts to industrial automation
Chee, Matthew C. T.
Chee, Matthew C. T.
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2015
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Abstract
The author proposes a methodology to construct reconfigurable flexible manufacturing systems by enabling individual components to make localized decisions influenced by optimization algorithms. In order to evaluate this methodology, a simulation platform, the Networked Autonomous Automation System Simulator (NAASS), was created and validated with a physical setup, the Basic Automation and Robotics Demonstration (BARD). The NAASS was used to evaluate the performance, system robustness and system scalability of a variety of material transportation systems under different scheduling optimization paradigms (SOPs). Results showed that the SOPs with inbuilt intelligence were more robust and outperformed those that lacked local decision-making capability under both stochastic and deterministic conditions. Investigation into the possibility of system scaling yielded evidence indicating that the relationship between the scaled and unscaled systems was both complex and non-linear. Attractive avenues for future research that would yield applicable advances to industry were also identified.
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