Integrating Reactive and Deliberative Planning for Agents

Abstract

Autonomous agents that respond intelligently in dynamic, complex environments need to be both reactive and deliberative. Reactive systems have traditionally fared better than deliberative planers in such environments, but are often hard to code and inflexible. To fill in some of these gaps, we propose a hybrid system that exploits the strengths of both reactive and deliberative systems. We demonstrate how our system controls a simulated household robot and compare our system to a purely reactive one in this domain. We also look at a number of relevant issues in anytime planning. This work was supported in part by Fujitsu Laboratories, Ltd. and the Avionics Laboratory, Wright Research and Development Center, Aeronautical Systems Division (AFSC), U.S. Air Force, Wright-Patterson AFB, OH 45433-6543 under Contract F33615-90-C-1465, ARPA Order No. 7597. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official po...