Motion and control of surface-shaping mechatronic neural network
Motion and control of surface-shaping mechatronic neural network

Author(s): Velizar Vassilev, Dobri Komarski, Hristiana Nikolova
Subject(s): Economy, Business Economy / Management, Accounting - Business Administration, Business Ethics
Published by: Национално издателство за образование и наука „Аз-буки“
Keywords: mechatronic; neural network; surface-shape; motion; control
Summary/Abstract: This paper presents the motion and control system of a developed surface-shaping mechatronic neural network. The system integrates force sensing resistors that detect user input, allowing the surface to adapt its form based on the intensity and pattern of the applied force. Depending on the input, the shape of the surface can be convex, concave, inclined or any other combined shape as a result of the input data. Focus of this paper is the description of the overall system architecture, including selection, development and integration of hardware components and the control algorithms. The proposed neural network could be applied in different areas while offering an approach to input data driven shape manipulation.

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