Intelligent Control of Mobile Robot with Redundant Manipulator & Stereovision: Quantum / Soft Computing Toolkit
作者机构：Dubna State UniversityRussia INESYS LLC(EFKO GROUP)Russia
出 版 物：《Artificial Intelligence Advances》 (人工智能进展（英文）)
年 卷 期：2020年第2卷第2期
页 面：1-31页
学科分类：08[工学] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 081102[工学-检测技术与自动化装置]
主 题：Quantum/Soft computing optimizer Knowledge base Fuzzy controller Quantum fuzzy inference Multi-agent systems Mobile robot stereo vision
摘 要：The task of an intelligent control system design applying soft and quantum computational intelligence technologies *** example of a control object as a mobile robot with redundant robotic manipulator and stereovision *** of robust knowledge bases is performed using a developed computational intelligence-quantum/soft computing toolkit(QC/SCOptKBTM).The knowledge base self-organization process of fuzzy homogeneous regulators through the application of end-to-end IT of quantum computing *** coordination control between the mobile robot and redundant manipulator with stereovision based on soft computing *** general design methodology of a generalizing control unit based on the physical laws of quantum computing(quantum information-thermodynamic trade-off of control quality distribution and knowledge base self-organization goal)is *** modernization of the pattern recognition system based on stereo vision technology *** effectiveness of the proposed methodology is demonstrated in comparison with the structures of control systems based on soft computing for unforeseen control situations with sensor *** main objective of this article is to demonstrate the advantages of the approach based on quantum/soft computing.
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