DocumentCode
1261681
Title
Dynamic path planning in sensor-based terrain acquisition
Author
Lumelsky, Vlaadimir J. ; Mukhopadhyay, Snehasis ; Sun, Kang
Author_Institution
Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA
Volume
6
Issue
4
fYear
1990
fDate
8/1/1990 12:00:00 AM
Firstpage
462
Lastpage
472
Abstract
The terrain acquisition problem is formulated as that of continuous motion planning, and no constraints are imposed on obstacle geometry. Two algorithms are described for acquiring planar terrains with obstacles of arbitrary shape. Estimates of the algorithm performance are derived as upper bounds on the lengths of generated paths
Keywords
artificial intelligence; mobile robots; navigation; artificial intelligence; continuous motion planning; dynamic path planning; mobile robots; navigation; obstacle geometry; sensor-based terrain acquisition; upper bounds; Layout; Motion planning; Navigation; Path planning; Robot kinematics; Robot motion; Robot sensing systems; Robot vision systems; Robotics and automation; Shape;
fLanguage
English
Journal_Title
Robotics and Automation, IEEE Transactions on
Publisher
ieee
ISSN
1042-296X
Type
jour
DOI
10.1109/70.59357
Filename
59357
Link To Document