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

Mohd Khairuddin, Ismail and Sidek, Shahrul Na'im and Ahmad Puzi, Asmarani and Md. Yusof, Hazlina (2018) A hybrid automata framework for an adaptive impedance control of a robot-assisted training system. In: The 6th International Conference on Robot Intelligence Technology and Applications, 16-18 Dec 2018, Putrajaya, Malaysia. (Unpublished)

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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.

Item Type: Conference or Workshop Item (Other)
Additional Information: 3028/69447
Uncontrolled Keywords: robot-assisted training system
Subjects: T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Dr. Shahrul Naim Sidek
Date Deposited: 08 Jan 2019 16:07
Last Modified: 08 Jan 2019 16:07
URI: http://irep.iium.edu.my/id/eprint/69447

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