Pareto optimization-based trade-off between the visual resolvability and the intersection space of view of binocular microscopic vision system for microassembly systems
Pareto optimization-based trade-off between the visual resolvability and the intersection space of view of binocular microscopic vision system for microassembly systems
复制标题
微装配系统双目显微视觉系统视觉分辨率与视场交叉空间之间基于帕累托优化的权衡
DOI:
10.1117/1.oe.57.5.053115
复制
发表时间:
2018-05
影响因子:
1.3
通讯作者:
Wu Zhao Ming
中科院分区:
文献类型:
--
作者:
Wang Dai Hua;Wang Kan;Wu Zhao Ming
Abstract. Visual resolvability and intersection space of view of a binocular microscopic vision system (MVS) in microassembly systems have influences on each other via analyzing theoretically. According to requirements of various microassembly tasks, it is an explicit problem how to find the best compromise between the visual resolvability of binocular MVS and its intersection space of view in three-dimensional space. A Pareto optimization-based method to make the trade-off between the visual resolvability and the intersection space of view of binocular MVS with relevant fixed parameters in microassembly systems is proposed. Through modeling and analyzing on the visual resolvability and intersection space of view of a binocular MVS, the topology and optical magnifications of two MVSs are considered as the key parameters to optimize its physical properties. A multiobjection optimization model based on a Pareto optimization method is formulated and used to find the Pareto optimal cure, namely the Pareto front, which represents the best trade-off between the visual resolvability and the intersection space of view of a binocular MVS. On these bases, the physical properties of a binocular MVS with structural parameters corresponding to the optimization solutions are numerically simulated. Accordingly, a binocular MVS with different parameters is established on an automatic microassembly system with a single manipulator with five degree-of-freedom and experimentally tested. The simulation and experimental results indicate that all of the optimal solutions, which locate on the Pareto front, are the best trade-off between the visual resolvability and the intersection space of view of a binocular MVS. According to the Pareto front, physical parameters of a binocular MVS can be chosen to get the optimal visual resolvability with a certain intersection space of view and vice versa.
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发表时间:
1995-05
期刊:
Proceedings of 1995 IEEE International Conference on Robotics and Automation
影响因子:
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影响因子:
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通讯作者:
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影响因子:
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通讯作者:
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