Mobile Robot Localization using Particle Filters and Sonar Sensors
Author(s) -
Antoni Burguera,
Yolanda Gonzlez,
Gabriel Oliver
Publication year - 2009
Language(s) - English
Resource type - Book series
DOI - 10.5772/39415
Subject(s) - sonar , particle filter , mobile robot , computer science , computer vision , particle (ecology) , artificial intelligence , acoustics , robot , geology , physics , kalman filter , oceanography
Nowadays, nearly all mobile robotic tasks require some knowledge of the robot location in the environment. For example, those tasks involving the robot to reach a specific target require knowledge about the current robot pose in order to plan a path to the goal. Also, exploration tasks require some estimate of the robot pose in order to decide whether a specific region has been already visited by the robot or not. The problem of computing the robot pose is known as the
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