Quarterly Progress Report on Contract N00014-91-J-1577 (Yale University)

Abstract

Our work on autonomous-agent planning continued on several tracks. One track focused on the development of concepts for runtime planning. Robot planning is concerned with the control of ongoing physical processes in real time. Therefore, planning and execution have to be tightly coupled. the robot controller has to activate the planning process on subtasks if risks, opportunities, or plan failures are detected or necessary information becomes available. It has to interrupt the planner if the world model used by the planar is detected to be outdated. The planner has to swap in its revisions for the plan while the robot controller executes the plan. These interactions require planning and execution to communicate and to synchronize their actions.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1993
Accession Number
ADA273268

Entities

People

  • Drew McDermott

Organizations

  • Yale University

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Automata Theory
  • Autonomous Agents
  • Computations
  • Computer Languages
  • Computer Science
  • Computer Vision
  • Data Modeling
  • Knowledge Based Systems
  • Language
  • Military Research
  • Object Recognition
  • Probability
  • Probability Distributions
  • Robotics
  • Robots
  • Students

Readers

  • Distributed Systems and Data Platform Development
  • Robotics and Automation.
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy