Towards a human-robot symbiotic system
Partnership between a person and a robot could be simplified if the robot were intelligent enough to understand human intentions and perform accordingly. During the last decade, we have been developing such an intelligent robot called ISAC. Originally, ISAC was designed to assist the physically disabled, but gradually became a test bed for more robust human-robot teaming (see http:// eecs.vanderbilt.edu/CIS/). In this paper, we will describe a framework for human-robot interaction, a multi-agent based robot control architecture, and short- and long-term memory structures for the robot brain. Two applications will illustrate how ISAC interacts with the human. (C) 2003 Elsevier Ltd. All rights reserved.
human-robot interaction humanoid robot multi-agent system behavior learning