Distributed Continual Planning for Unmanned Ground Vehicle Teams
Some application domains highlight the importance of distributed continual planning concepts; coordinating teams of unmanned ground vehicles in dynamic environments is an example of such a domain. In this article, I illustrate the ideas in, and promises of, distributed continual planning by showing how acquiring and distributing operator intent among multiple semiautonomous vehicles supports ongoing, cooperative mission elaboration and revision.
Copyright © 2014, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.