Title :
Map building without odometry information
Author :
Amigoni, Francesco ; Gasparini, Simone ; Gini, Maria
Author_Institution :
Dipt. di Elettronica e Inf., Politecnico di Milano, Italy
fDate :
April 26-May 1, 2004
Abstract :
The map building methods usually employed by mobile robots are based on the assumption that an estimate of the position of the robot can be obtained from odometry readings. In this paper we propose three methods that build a geometrical global map by integrating partial maps without using any odometry information. We focus on the problem of integrating a sequence of partial maps that specifies the order in which the partial maps must be integrated. Experimental results show the effectiveness of our approach in different types of environments.
Keywords :
geometry; mobile robots; path planning; position control; geometrical global map; map building methods; mobile robots; odometry information; partial maps sequence; position estimation; Buildings; Computer science; Kalman filters; Machinery; Mobile robots; Resumes; Robot localization; Robot sensing systems; Scattering; Simultaneous localization and mapping;
Conference_Titel :
Robotics and Automation, 2004. Proceedings. ICRA '04. 2004 IEEE International Conference on
Print_ISBN :
0-7803-8232-3
DOI :
10.1109/ROBOT.2004.1308853