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

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... 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. Politehnica University of Bucharest, the PhD student in robotics and mechatronics. Her interest researches are on development of a versatile, intelligent, portable robot platform VIPRO with real-time control systems for mobile robots, techniques that use image analysis, image formation, image operations, sampling & quantization to improve robotic navigation for intelligent robot vectors used in special missions.