Title :
Finding an unpredictable target in a workspace with obstacles
Author :
LaValle, Steven M. ; Lin, David ; Guibas, Leonidaa J. ; Latombe, Jean-Claude ; Motwani, Rajeev
Author_Institution :
Dept. of Comput. Sci., Stanford Univ., CA, USA
Abstract :
This paper introduces a visibility-based motion planning problem in which the task is to coordinate the motions of one or more robots that have omnidirectional vision sensors, to eventually “see” a target that is unpredictable, has unknown initial position, and is capable of moving arbitrarily feast. A visibility region is associated with each robot, and the goal is to guarantee that the target will ultimately lie in at least one visibility region. Both a formal characterization of the general problem and several interesting problem instances are presented. A complete algorithm for computing the motion strategy of the robots is also presented, and is based on searching a finite cell complex that is constructed on the basis of critical information changes. A few computed solution strategies are shown. Several bounds on the minimum number of needed robots are also discussed
Keywords :
mobile robots; path planning; robot vision; search problems; critical information changes; finite cell complex; formal characterization; omnidirectional vision sensors; unpredictable target; visibility region; visibility-based motion planning problem; workspace with obstacles; Buildings; Cameras; Computer science; Military computing; Mobile robots; Robot kinematics; Robot sensing systems; Robot vision systems; Robotics and automation; Security;
Conference_Titel :
Robotics and Automation, 1997. Proceedings., 1997 IEEE International Conference on
Conference_Location :
Albuquerque, NM
Print_ISBN :
0-7803-3612-7
DOI :
10.1109/ROBOT.1997.620123