Amplitude control and offset boosting of motion in the neuron-driven mechanical arm

Li Zhang (), Wuyin Jin () and Guolong Chen ()
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Li Zhang: Lanzhou University of Technology
Wuyin Jin: Lanzhou University of Technology
Guolong Chen: Lanzhou University of Technology

The European Physical Journal B: Condensed Matter and Complex Systems, 2025, vol. 98, issue 4, 1-13

Abstract: Abstract Dynamic analysis and geometric control are essential for ensuring that the amplitude and offset of the mechanical arm meet the requirements of the artificial device. This paper presents a simple mechanical arm actuated by a light-sensitive neural circuit, with the period and quasi-period oscillations of the mechanical arm detected by modulating the external light signal. The schemes for controlling the displacement amplitude by different functions are proposed, and the mechanisms for adjusting the displacement offset by independent parameter or initial condition are discussed. The results indicate that these geometric control methods correct the magnitude and offset of the displacement without changing the dynamics of the electromechanical system. The flexibility of the mechanical arm provides reliability to the precise stimulation of target nerves. Graphic Abstract

Date: 2025
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DOI: 10.1140/epjb/s10051-025-00925-2

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