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 out 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 anything planning.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1993
Accession Number
ADA267631

Entities

People

  • Jim Blythe
  • W. S. Reilly

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Algorithms
  • Artificial Intelligence
  • Autonomous Agents
  • Computer Science
  • Environment
  • Families (Human)
  • Hybrid Systems
  • Learning
  • Machine Learning
  • Markov Processes
  • Models
  • Probabilistic Models
  • Probability
  • Robots
  • Simulations

Readers

  • Computational Modeling and Simulation
  • Economics
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Autonomous System Control