Performance uncertainty analysis of modular-based robotic system
Summary
Modular-based robotic systems are promising in the future. Practically, the effect of modules combining or integrating the systems on the system performance should be determined to configure the system effectively and... [ view full abstract ]
Modular-based robotic systems are promising in the future. Practically, the effect of modules combining or integrating the systems on the system performance should be determined to configure the system effectively and efficiently. Firstly, coupling effects of modules should be attained quantitatively or/and qualitatively. Secondly, the consequence of time variations of modules should be known. Thirdly, the contribution of couplings and time variations and combinations of modules to the system performance will be derived. For this, a new generalized set integrating the generalized set in constitution theory and the graphic method was given to describe a robotic system. Data mining technologies were used to obtain the values of related parameter and relationships mentioned above. For uncertainties, the Bayesian theory was applied to determine the contributions such that the most sensible and critical parameters will be gotten. Thus it will help the design and configuration of the robotic system.
Authors
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Xiujuan Yu
(School of Mechanical Engineering, Anhui University of Technology, China.)
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Yan Jin
(School of Mechanical & Aerospace Engineering, Queens University Belfast.)
Topic Areas
Machine Tool Design , Manufacturing Management , Life Cycle Engineering
Session
Session 2F » Session 2F: Machine Tool design (15:15 - Friday, 4th September, Lecture Theatre 2016)
Paper
PERFORMANCE_UNCERTAINTY_ANALYSIS_OF_MODULAR_ROBOTIC_SYSTEM-Xiujuan_Yu.pdf