Title :
Minimum uncertainty explorations in the self-localization of mobile robots
Author :
Borghi, Giuseppe ; Caglioti, Vincenzo
Author_Institution :
IDSIA, Lugano, Switzerland
fDate :
12/1/1998 12:00:00 AM
Abstract :
The self-localization of a mobile robot within a known environment, by means of an orientable range finder, is considered. The problem of the determination of the sensor orientation which minimizes the position uncertainty of the mobile robot is addressed. An efficient technique is proposed to determine the optimal sensor exploration, given the current robot position estimate and its uncertainty. Once a tentative exploration is given, the technique avoids to take any worst exploration into account, allowing to efficiently determine the optimal one. Both location accuracy and efficiency have been analyzed in the paper. The time needed to plan the exploration is found to be well below the time needed for the sensor activation. The technique is demonstrated by experimental results on environments containing curvilinear parts
Keywords :
distance measurement; geometry; minimisation; mobile robots; path planning; self-adjusting systems; uncertainty handling; location accuracy; minimum uncertainty explorations; orientable range finder; position uncertainty; self-localization; sensor orientation; Dead reckoning; Helium; Mobile robots; Navigation; Position measurement; Robot sensing systems; Sensor arrays; Sensor phenomena and characterization; Sensor systems; Uncertainty;
Journal_Title :
Robotics and Automation, IEEE Transactions on