Abstract—The paper presents a VIPRO versatile, intelligent and mobile latform for robots developed through adaptive networked control, using an original virtual projection method which involves the representation of modern mobile robots in a 3D virtual environment. The Cartesian robot workspace, which is learned using an adaptive neuro-fuzzy control for the prediction of desired references was generate. In correlation was used a strong robotic simulator, an open architecture system and adaptive networks over the classical control system of the robot.
It was developed an intelligent control interfaces that apply advanced control technologies adapted to the robot environment such as control by artificial intelligence techniques using adaptive neuro-fuzzy inference systems, extended control (extenics), neutrosophic control, human adaptive mechatronics. The results lead to a high level real-time simulation platform as a new component, alongside the existing ones on the IT market, for modelling the interactions the robots in hazardous or challenging environments.
Index Terms—Intelligent control interfaces, virtual projection method, adaptive networked control, tracking trajectory control, contradictory problems, extenics control.
Luige Vladareanu, Victor Vladareanu, Mihai Radulescu, Alexandra-Catalina Ciocîrlan are with Romanian Academy, Institute of Solid Mechanics, Romanian (e-mail: vladareanuv@gmail.com).
Hongbo Wang is with Fudan University, China (e-mail: hongbo_w@ysu.edu.cn).
Yongfei Feng is with Ningbo University, China (e-mail: yf_feng@126.com).
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Cite: Luige Vladareanu, Victor Vladareanu, Hongbo Wang, Yongfei Feng, Mihai Radulescu, and Alexandra-Catalina Ciocîrlan, "Versatile Intelligent Portable Robot Platform Developed through Adaptive Neuro-Fuzzy Control ," International Journal of Modeling and Optimization vol. 9, no. 5, pp. 271-276, 2019.
