Title :
Complexity analysis and approximate solutions for two multiple-robot localization problems
Author :
Kim, Jinsnck ; Amato, Nancy M.
Author_Institution :
Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA
fDate :
26 April-1 May 2004
Abstract :
We consider the localization problem for a system of mobile robots using inexpensive range sensors. Among many issues for multi-robot systems, two problems are identified and formally defined. The first problem is sensing ranges from all robots as quickly as possible while avoiding sensor cross-talk, and the second problem is to localize a multi-robot system using a minimal number of range sensings. We show that both these problems are NP-complete, and we propose an approximate method for the multi-robot localization problem that takes advantage of the robots pose uncertainty information. Simulation results show the effectiveness of our method for localizing multiple robots.
Keywords :
computational complexity; crosstalk; mobile robots; multi-robot systems; optimisation; NP-complete problem; complexity analysis; inexpensive range sensors; mobile robots; multiple-robot localization problems; multirobot system; sensor cross-talk; Computer science; Mobile computing; Mobile robots; Navigation; Robot kinematics; Robot sensing systems; Scheduling; Sensor systems; Surveillance; Uncertainty;
Conference_Titel :
Robotics and Automation, 2004. Proceedings. ICRA '04. 2004 IEEE International Conference on
Print_ISBN :
0-7803-8232-3
DOI :
10.1109/ROBOT.2004.1307289