Paper Info
Title
Path planning strategy design under the experience of mobile robot navigation
Abstract
This paper presents a path planning strategy for a mobile robot. The path planning strategy is according to the experience that the mobile robot has been experienced in target navigation. The mixed reality technique is implemented by both the virtools tool and mobile robot. There are three basic interactive behaviors of human beings which have been implemented on this proposed mobile robot. They are targeting navigation behavior, face tracking behavior, and obstacle avoidance behavior; all of them are designed by the fuzzy rule methods, respectively. These behaviors make the proposed path planning strategy possible. The virtual reality environment is used to implement the arbitrator of the behaviors and to choose the behavior rules for dynamic environment changing. Experiments show that the proposed behaviors are well designed. The proposed robot system can optimize the path planning based on the previous navigation experience.
Year
DOI
Venue
2009
10.1109/CIRA.2009.5423186
CIRA
Keywords
Field
DocType
proposed robot system,obstacle avoidance behavior,path planning strategy design,fuzzy set theory,robot dynamics,virtools tool,virtual reality,targeting navigation behavior,mobile robot navigation,mobile robots,behavior rule,control engineering computing,face tracking behavior,mixed reality technique,proposed behavior,navigation behavior,mobile robot,proposed mobile robot,path planning strategy,collision avoidance,fuzzy rule methods,basic interactive behavior,obstacle avoidance,mixed reality,face tracking,path planning
Obstacle avoidance,Motion planning,Social robot,Computer vision,Robot control,Computer science,Artificial intelligence,Mobile robot navigation,Mixed reality,Mobile robot,Fuzzy rule
Conference
ISBN
Citations 
PageRank 
978-1-4244-4809-8
0
0.34
References 
Authors
8
4
Name
Order
Citations
PageRank
Wen-Yo Lee1173.12
An-Doo Yang200.34
Ta-Chih Hung301.35
Jhu-Syuan Guo400.68