Knowledge-Based Planning

Abstract

The goal of our project is to study planning for autonomous agents with imperfect sensors in a dynamic world. Such agents must confront several problems: (1) how to synchronize plan execution with plan refinement, (2) how to generate resonable plans quickly for complex goals, and improve them later; (3) how to trade off sensor-processing time against the quality of information; and (4) and how to learn the structure of the environment as plan execution proceeds.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1992
Accession Number
ADA257209

Entities

People

  • Drew McDermott
  • Gregory D. Hager

Organizations

  • Yale University

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Autonomous Agents
  • Autonomous Navigation
  • Computer Science
  • Computers
  • Data Fusion
  • Debugging
  • Electronic Mail
  • Lisp Programming Language
  • Minority Groups
  • Models
  • Native Americans
  • Robot Navigation
  • Robotics
  • Robots
  • Sensor Fusion

Readers

  • Artificial Intelligence
  • Computational Modeling and Simulation
  • Distributed Systems and Data Platform Development