DocumentCode :
2386810
Title :
I-Bug: An intensity-based bug algorithm
Author :
Taylor, Kamilah ; LaValle, Steven M.
Author_Institution :
Dept. of Comput. Sci., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
fYear :
2009
fDate :
12-17 May 2009
Firstpage :
3981
Lastpage :
3986
Abstract :
This paper introduces a sensor-based planning algorithm that uses less sensing information than any others within the family of bug algorithms. The robot is unable to access precise information regarding position coordinates, angular coordinates, time, or odometry, but is nevertheless able to navigate itself to a goal among unknown piecewise-analytic obstacles in the plane. The only sensor providing real values is an intensity sensor, which measures the signal strength emanating from the goal. The signal intensity function may or may not be symmetric; the main requirement is that the level sets are concentric images of simple closed curves, i.e. topological circles. Convergence analysis and distance bounds are established for the presented approach.
Keywords :
collision avoidance; distance measurement; mobile robots; sensors; I-bug; angular coordinate; convergence analysis; distance bound; intensity sensor; intensity-based bug algorithm; mobile robot navigation; odometry; piecewise-analytic obstacle avoidance; position coordinate; sensor-based planning algorithm; signal intensity function; time coordinate; topological circle; Computer science; Convergence; Level set; Poles and towers; Radio navigation; Robot kinematics; Robot sensing systems; Robotics and automation; Underwater vehicles; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 2009. ICRA '09. IEEE International Conference on
Conference_Location :
Kobe
ISSN :
1050-4729
Print_ISBN :
978-1-4244-2788-8
Electronic_ISBN :
1050-4729
Type :
conf
DOI :
10.1109/ROBOT.2009.5152728
Filename :
5152728
Link To Document :
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