DocumentCode
2544765
Title
The object oriented analysis and modeling for obstacle avoidance of a behavior-based robot
Author
Zhang, Qian ; Zhang, Yong-Fei ; Qin, Shi-Yin
Author_Institution
Univ. of Saskatchewan, Saskatoon
fYear
2007
fDate
7-10 Oct. 2007
Firstpage
1545
Lastpage
1550
Abstract
This paper first describes key conceptions about object oriented analysis in software engineering, behavior based robotics and their conceptual similarities. Then, based on these similarities, the paper utilizes object oriented methods of software engineering, such as Unified Modeling Language (UML), to analyze and model the architecture and design behaviors for a behavior-based robot, which is expected to wander with autonomous obstacle avoidance in unknown environment. Object oriented methods permit a translation from conceptual behavior models to computer programming representations, and separate concrete control algorithms from robot modeling. With this approach, the paper also implements a fuzzy algorithm for obstacle avoidance behavior of the constructed behavior models in a physical robot. Finally the paper gives experimental results and points out future directions.
Keywords
Unified Modeling Language; collision avoidance; control engineering computing; fuzzy control; mobile robots; multi-robot systems; object-oriented methods; Unified Modeling Language; autonomous obstacle avoidance; behavior-based robot modeling; computer programming representation; fuzzy controller algorithm; multi robot system; object oriented analysis; software engineering; Computer architecture; Infrared sensors; Object oriented methods; Object oriented modeling; Power system reliability; Robot control; Robot sensing systems; Robotics and automation; Software engineering; Unified modeling language;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
Conference_Location
Montreal, Que.
Print_ISBN
978-1-4244-0990-7
Electronic_ISBN
978-1-4244-0991-4
Type
conf
DOI
10.1109/ICSMC.2007.4413908
Filename
4413908
Link To Document