A hybrid automata framework for an adaptive impedance control of a robot-assisted training system

Mohd Khairuddin, Ismail and Sidek, Shahrul Na'im and Abdul Majeed, Anwar P.P. and Ahmad Puzi, Asmarani and Md. Yusof, Hazlina (2020) A hybrid automata framework for an adaptive impedance control of a robot-assisted training system. In: RITA 2018. Lecture Notes in Mechanical Engineering . Springer, Singapore, Sigapore, pp. 257-265. ISBN 978-981-13-8322-9

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Abstract

There is an increasing demand for an effective and adaptive robot-assisted training system for traumatic brain injury patients which can considerably promote their sensorimotor control performance, apart from ensuring the safety of the patients. This study focuses on the impedance control framework to simultaneously track the position trajectory while regulating the apparent impedance of the robot. The framework is based on the hybrid automata model that is used to govern the desired trajectory deployed by the robot-assisted training in assisting rehabilitative motion. A designed experimental setup was developed to evaluate the performance of the proposed hybrid automata scheme. Preliminary simulation results demonstrated the excellent response of the proposed framework with its ability to track the desired trajectory as well as the varying patients’ arm impedance profile. © Springer Nature Singapore Pte Ltd. 2020.

Item Type:	Book Chapter
Additional Information:	3028/83502
Uncontrolled Keywords:	hybrid automata framework, impedance control of a robot-assisted training system
Subjects:	T Technology > TJ Mechanical engineering and machinery T Technology > TJ Mechanical engineering and machinery > TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User:	Dr. Shahrul Naim Sidek
Date Deposited:	07 Oct 2020 09:57
Last Modified:	19 Jan 2021 12:31
URI:	http://irep.iium.edu.my/id/eprint/83502

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