Title :
Chasing an elusive target with a mobile robot
Author :
COUe, Christophe ; Bessiere, Pierre
Author_Institution :
INRIA, Montbonnot, France
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
Keywords :
collision avoidance; data compression; mobile robots; object recognition; robot programming; robot vision; target tracking; Bayesian robot programming; elusive target tracking; information compression; mobile robot; obstacle avoidance; robot vision; visual servoing; Automatic control; Bayesian methods; Cameras; Machine vision; Mobile robots; Robot programming; Robot sensing systems; Robot vision systems; Solid modeling; Visual servoing;
Conference_Titel :
Intelligent Robots and Systems, 2001. Proceedings. 2001 IEEE/RSJ International Conference on
Conference_Location :
Maui, HI
Print_ISBN :
0-7803-6612-3
DOI :
10.1109/IROS.2001.977172
