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INTELLIGENT ROBOTISED PHYSIOTHERAPY TESTED ON AN 8-DOF MECHATRONIC ARM
D T Pham, E E Eldukhri, N B Zlatov, S S Dimov, M S Packianather, D Bratanov*, A Toth§ and G Fazekas+
Manufacturing Engineering Centre, School of Engineering, Cardiff University, Newport Road P O Box 925,
Cardiff CF 24 0YF, Wales, United Kingdom
* Department of Manufacturing Engineering, Automation & Robotics Laboratory, University of Rousse,
8 Studentska str., 7017 Rousse, Bulgaria
§ Department of Manufacturing Engineering, Budapest University of Technology and Economics, 1, Egry J. Str.,
Budapest, 1111; Hungary
+ Institute: National Institute for Medical Rehabilitation, 1528 Budapest, Szanat¢rium u. 19, Hungary
The successful rehabilitation of people with upper limb neuro-motor impairment depends largely on the appropiate selection and validation of a set of exercises. In this paper a knowledege-based system (KBS) for selecting a set of exercises to suit a particular patient status is proposed. Also a model of a mechatronic limb that simulates the human arm spatic characteristics will be developed. The selected set of exercises will initially be performed on the dummy arm by two industrial robots.
Keywords: Robotic rehabilitation, knowledge-based system, resistance control
Session slot T-Th-A18: Advanced Robotics/Area code 1d : Robotics
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