DocumentCode :
173693
Title :
Mobile Robotic Rehabilitation Assistant for walking and orientation training of Stroke Patients: A report on work in progress
Author :
Gross, H.-M. ; Debes, K. ; Einhorn, E. ; Mueller, Steffen ; Scheidig, A. ; Weinrich, Ch ; Bley, A. ; Martin, Christian
Author_Institution :
Neuroinf. & Cognitive Robot. Lab., Ilmenau Univ. of Technol., Ilmenau, Germany
fYear :
2014
fDate :
5-8 Oct. 2014
Firstpage :
1880
Lastpage :
1887
Abstract :
As report on work in progress, this paper describes the objectives and the current state of implementation of the ongoing research project ROREAS (Robotic Rehabilitation Assistant for Stroke Patients), which aims at developing a robotic rehabilitation assistant for walking and orientation exercising in self-training during clinical stroke follow-up care. This requires strongly user-centered, polite and attentive social navigation and interaction behaviors that can motivate the patients to start, continue, and regularly repeat their self-training. Against this background, the paper gives an overview of the constraints and requirements arising from the rehabilitation scenario and the operational environment, a heavily populated multi-level rehabilitation center, and presents the robot platform ROREAS which is currently used for developing the demonstrators (walking coach and orientation coach). Moreover, it gives an overview of the robot´s functional system architecture and presents selected advanced navigation and HRI functionalities required for a personal robotic trainer that can successfully operate in such a challenging real-world environment, up to the results of ongoing functionality tests and upcoming user studies.
Keywords :
medical robotics; mobile robots; path planning; patient rehabilitation; ROREAS project; clinical stroke follow-up care; interaction behavior; mobile robotic rehabilitation assistant; orientation training; social navigation behavior; stroke patients; walking training; Detectors; Legged locomotion; Navigation; Robot sensing systems; Robustness; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on
Conference_Location :
San Diego, CA
Type :
conf
DOI :
10.1109/SMC.2014.6974195
Filename :
6974195
Link To Document :
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