DocumentCode :
2407931
Title :
Navigation among visually connected sets of partially distinguishable landmarks
Author :
Erickson, Lawrence H. ; LaValle, Steven M.
Author_Institution :
Dept. of Comput. Sci., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
fYear :
2012
fDate :
14-18 May 2012
Firstpage :
4829
Lastpage :
4835
Abstract :
A robot navigates in a polygonal region populated by a set of partially distinguishable landmarks. The robot´s motion primitives consist of actions of the form “drive toward a landmark of class x”. To effectively navigate, the robot must always be able to see a landmark. Also, if the robot sees two landmarks of the same class, its motion primitives become ambiguous. Finally, if the robot wishes to navigate from landmark s0 to landmark sgoal with a simple graph search algorithm, then there must be a sequence of landmarks [s0, s1, s2, ..., sk = sgoal], in which landmark si is visible from si-1. Given these three conditions, how many landmark classes are required for navigation in a given polygon P? We call this minimum number of landmark classes the connected landmark class number, denoted χCL(P). We study this problem for the monotone polygons, an important family of polygons that are frequently generated as intermediate steps in other decomposition algorithms. We demonstrate that for all odd k, there exists a monotone polygon Mk with 3 over 4 (k2 + 2k + 1) vertices such that χCL(P) ≥ k. We also demonstrate that for any n-vertex monotone polygon P, χCL(P) ≤ n/3 + 12.
Keywords :
geometry; graph theory; mobile robots; path planning; search problems; decomposition algorithms; graph search algorithm; monotone polygons; partially distinguishable landmarks; polygonal region; robot motion primitives; robot navigation; visually connected sets; Color; Green products; Navigation; Robot motion; Robot sensing systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation (ICRA), 2012 IEEE International Conference on
Conference_Location :
Saint Paul, MN
ISSN :
1050-4729
Print_ISBN :
978-1-4673-1403-9
Electronic_ISBN :
1050-4729
Type :
conf
DOI :
10.1109/ICRA.2012.6224694
Filename :
6224694
Link To Document :
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