Title :
Model-sensor fusion for mobile robots
Author :
Zapata, R. ; Perrier, M.
Author_Institution :
Lab. d´´Autom. et de Microelectron. de Montpellier, Univ. des Sci. et Techniques du Languedoc, France
Abstract :
The paper addresses the motion planning problem for mobile robots evolving in ill-structured and dynamic environments. The main part of this work deals with the problem of the model-sensor cooperation, that is to maintain the world consistency when real information provided by sensors
Keywords :
mobile robots; navigation; planning (artificial intelligence); signal processing; dynamic environments; mobile robots; model sensor fusion; motion planning; navigation; state space; world consistency; Artificial intelligence; Distributed control; Equations; Intelligent robots; Mobile robots; Motion planning; Robot kinematics; Robot motion; Robot sensing systems; Vehicle dynamics;
Conference_Titel :
Intelligent Robots and Systems '90. 'Towards a New Frontier of Applications', Proceedings. IROS '90. IEEE International Workshop on
Conference_Location :
Ibaraki
DOI :
10.1109/IROS.1990.262495