A class of intelligent agents for coordinated control of outdoor terrain mapping UGVs

Authors:
K. Fregene;D. Kennedy;R. Madhavan;L. E. Parker;D. Wang
Affiliations:
Honeywell Laboratories, 3660 Technology Drive, Minneapolis, MN 55418, USA;Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada M5B 2K3;Intelligent Systems Division, National Institute of Standards and Technology, Gaithersburg, MD 20899-8230, USA;Department of Computer Science, University of Tennessee, Knoxville, TN 37996-3450, USA;Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1
Venue:
Engineering Applications of Artificial Intelligence
Year:
2005

Citing 11
Cited 1

A system and control theoretic perspective on artificial intelligence planning systems

Applied Artificial Intelligence
Artificial intelligence: a modern approach

Artificial intelligence: a modern approach
Multiagent systems: a modern approach to distributed artificial intelligence

Multiagent systems: a modern approach to distributed artificial intelligence
Intelligent agents

Multiagent systems
Industrial and practical applications of DAI

Multiagent systems
Heterogeneous multi-agent architecture for ATM virtual path network resource configuration

IATA '98 Proceedings of the second international workshop on Intelligent agents for telecommunication applications
A Roadmap of Agent Research and Development

Autonomous Agents and Multi-Agent Systems
Multiple Agent Hybrid Control Architecture

Hybrid Systems
Distributed intelligent control of hybrid multiagent systems

Distributed intelligent control of hybrid multiagent systems
Global Positioning Systems, Inertial Navigation, and Integration

Global Positioning Systems, Inertial Navigation, and Integration
Distributed intelligent control system for a continuous-state plant

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Embedding intelligent decision making within complex dynamic environments

Artificial Intelligence Review

Quantified Score

Hi-index	0.00

Visualization

Abstract

This article develops a systems- and control-oriented intelligent agent framework called the hybrid intelligent control agent (HICA) and describes its composition into multiagent systems. It is essentially developed around a hybrid control system core so that knowledge-based planning and coordination can be integrated with verified hybrid control primitives to achieve the coordinated control of multiple multi-mode dynamical systems. The scheme is applied to the control of a team of unmanned ground vehicles (UGVs) engaged in an outdoor terrain mapping task. Results are demonstrated experimentally.