Journal of Robotics, Networking and Artificial Life

Volume 3, Issue 4, March 2017, Pages 221 - 226

A low cost genetic algorithm based control scheme for wheelchair control in hospital environment

Authors
Karam Dad, Muhammad Jawad Khan, Wang Jie, Min Cheol Lee
Corresponding Author
Karam Dad
Available Online 1 March 2017.
DOI
10.2991/jrnal.2017.3.4.3How to use a DOI?
Keywords
Wheelchair, Patients, Mobile Robot, Genetic Algorithm, A* Algorithm.
Abstract

In this paper, a control strategy is proposed for assisting patients, with wheelchairs, to move around within a hospital. The strategy is tested using a mobile robot that is navigated in a hospital while using obstacle avoidance scheme. The mobile robot is operated using both genetic algorithm and A* algorithm for a thorough comparison of both schemes. The comparison of the results confirmed that genetic algorithm give a far better solution for motion planning of a wheelchair in a hospital environment.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
3 - 4
Pages
221 - 226
Publication Date
2017/03/01
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
10.2991/jrnal.2017.3.4.3How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Karam Dad
AU  - Muhammad Jawad Khan
AU  - Wang Jie
AU  - Min Cheol Lee
PY  - 2017
DA  - 2017/03/01
TI  - A low cost genetic algorithm based control scheme for wheelchair control in hospital environment
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 221
EP  - 226
VL  - 3
IS  - 4
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2017.3.4.3
DO  - 10.2991/jrnal.2017.3.4.3
ID  - Dad2017
ER  -