Title :
The role of cognitive agent models in a multi-agent framework for human-humanoid interaction
Author :
Kawamura, Kazuhiko
Author_Institution :
Center for Intelligent Syst., Vanderbilt Univ., Nashville, TN, USA
Abstract :
Partnership between a human and robot could be enhanced if the robot were intelligent enough to understand human intention and adapt its behavior. In this paper, we will describe a multi-agent framework for robot control and human-robot interaction. Cognitive agent models called the Self Agent and the Human Agent are being developed to achieve this goal.
Keywords :
cognitive systems; control engineering computing; distributed object management; man-machine systems; multi-agent systems; robots; Human Agent; Self Agent; cognitive agent models; database associative memory; distributed component object model; finger-pointing demonstration; human intention; human robot partnership; human-humanoid interaction; intelligent machine architecture; memory data structures; multi-agent framework; robot control; sensory egosphere; Cognitive robotics; Hardware; Human robot interaction; Intelligent agent; Intelligent robots; Intelligent systems; Machine intelligence; Robot control; Robot kinematics; Robot sensing systems;
Conference_Titel :
Robot and Human Interactive Communication, 2002. Proceedings. 11th IEEE International Workshop on
Print_ISBN :
0-7803-7545-9
DOI :
10.1109/ROMAN.2002.1045602
