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  4. Development of autonomous robotic wheelchair controller using embedded systems
 
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Development of autonomous robotic wheelchair controller using embedded systems

Journal
IECON Proceedings (Industrial Electronics Conference)
Pages
3001-3006
Date Issued
2007
Author(s)
Kuo C.-H.
Yeh H.-W.
Wu C.-E.
Hsiao K.-M.
CHUNG-HSIEN KUO  
DOI
10.1109/IECON.2007.4460343
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-49949105335&doi=10.1109%2fIECON.2007.4460343&partnerID=40&md5=81ab5748dde6510c459da327c1441da6
https://scholars.lib.ntu.edu.tw/handle/123456789/611617
Abstract
Autonomous robotic wheelchairs play important roles to disabled persons or elders. In general, an autonomous robotic wheelchair includes the techniques of obstacle sensing and avoidance, local path navigation, and friendly interactions with users when compared to conventional powered wheelchairs. Most of researches on autonomous robotic wheelchairs used the personal computer as the supervisory controller since its powerful computing capacity and familiar coding environment. Nevertheless, the personal computer is not feasible to the wheelchair users due to inefficient size, lower reliability and larger power consumptions. To promote feasible robotic wheelchair control architecture, the embedded system is surveyed in this paper. By using the embedded computing architecture, the proposed robotic wheelchair controller performs characteristics of compact size, better reliability and lower power consumptions while the benefits of powerful computing capacity and familiar coding environment are maintained. On the other hand, this paper also implements the fuzzy logic based autonomous navigation functions such as goal-seeking, wall-following and obstacle avoidance. Theses fuzzy logic based navigation functions are fused together to solve practical situations of the robotic wheelchairs. Finally, a real robotic wheelchair with three-omni-wheel configuration is constructed based on the proposed control architecture, and several practical experiments are also discussed in this paper. ?2007 IEEE.
Subjects
Annual conference
Autonomous navigation
Autonomous navigations
Compact sizes
Computing capacity
Control architectures
Embedded computer
Embedded computing
Fuzzy logics
Navigation functions
Obstacle avoidance
Path navigation
Power consumptions
Powered wheel chairs
Robotic wheelchair
Robotic wheelchairs
Supervisory controllers
Wheelchair users
Computer control systems
Control systems
Electric power utilization
Electronics industry
Embedded systems
Fuzzy inference
Fuzzy logic
Fuzzy sets
Fuzzy systems
Industrial electronics
Integrated circuits
Navigation
Personal computers
Programming theory
Robotics
Robots
Wheelchairs
SDGs

[SDGs]SDG7

Type
conference paper

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