Paper Info
Title
Chasing an elusive target with a mobile robot
Abstract
This paper describes how a mobile robot (a six-wheeled Koala equipped with a PAL pan-tilt camera) can chase an elusive target (a remote controlled toy car) in a unknown and unconstrained environment. First, the paper demonstrates the efficiency, simplicity, and adequacy of Bayesian robot programming to quickly develop such applications. Next, it illustrates that a high information compression ratio may be obtained by some pertinent sensory-motor decoupling
Year
DOI
Venue
2001
10.1109/IROS.2001.977172
IROS
Keywords
Field
DocType
target tracking,visual servoing,mobile robots,data compression,elusive target tracking,information compression,robot programming,obstacle avoidance,object recognition,mobile robot,collision avoidance,bayesian robot programming,robot vision,compression ratio,solid modeling,machine vision,bayesian methods,automatic control
Obstacle avoidance,Computer vision,Machine vision,Computer science,Control engineering,Automatic control,Artificial intelligence,Solid modeling,Visual servoing,Data compression,Mobile robot,Cognitive neuroscience of visual object recognition
Conference
Volume
ISBN
Citations 
3
0-7803-6612-3
4
PageRank 
References 
Authors
1.01
7
2
Name
Order
Citations
PageRank
Christophe Coué1898.70
Pierre Bessière242586.40