DocumentCode
865738
Title
Line of sight robot navigation toward a moving goal
Author
Belkhouche, Fethi ; Belkhouche, Boumediene ; Rastgoufard, Parviz
Author_Institution
Electr. Eng. & Comput. Sci. Dept., Tulane Univ., New Orleans, LA, USA
Volume
36
Issue
2
fYear
2006
fDate
4/1/2006 12:00:00 AM
Firstpage
255
Lastpage
267
Abstract
In this paper, we consider the problem of robot tracking and navigation toward a moving goal. The goal´s maneuvers are not a priori known to the robot. Thus, off-line strategies are not effective. To model the robot and the goal, we use geometric rules combined with kinematics equations expressed in a polar representation. The intent of the strategy is to keep the robot between a reference point, called the observer, and the goal. We prove under certain assumptions that the robot navigating using this strategy reaches the moving goal successfully. In the presence of obstacles, the method is combined with an obstacle avoidance algorithm. The robot then moves in two modes, the navigation mode and the obstacle avoidance mode. Simulation of various scenarios highlights the efficiency of the method and provides an instructive comparison between the paths obtained for different reference points.
Keywords
collision avoidance; mobile robots; navigation; observers; robot kinematics; tracking; geometric rules; line-of-sight robot navigation; moving goal; observer; obstacle avoidance algorithm; polar representation; relative kinematics equations; robot tracking; Equations; Fuzzy control; Fuzzy logic; Kinematics; Military computing; Mobile robots; Navigation; Robustness; Sliding mode control; Surveillance; Line of sight guidance law; relative kinematics equations; robotic navigation toward a moving goal; tracking; Algorithms; Artificial Intelligence; Decision Support Techniques; Fuzzy Logic; Image Interpretation, Computer-Assisted; Motion; Pattern Recognition, Automated; Robotics;
fLanguage
English
Journal_Title
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
Publisher
ieee
ISSN
1083-4419
Type
jour
DOI
10.1109/TSMCB.2005.856142
Filename
1605375
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