A Reactive Robot Architecture With Planning on Demand

Abstract

In this paper, we describe a reactive robot architecture that uses fast re-planning methods to avoid the shortcomings of reactive navigation, such as getting stuck in box canyons or in front of small openings. Our robot architecture differs from others in that it gives planning progressively greater control of the robot if reactive navigation continues to fail, until planning controls the robot directly. Our first experiments on a Nomad robot and in simulation demonstrate that our robot architecture promises to simplify the programming of reactive robot architectures greatly and results in robust navigation, smooth trajectories, and reasonably good navigation performance.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2003
Accession Number
ADA442524

Entities

People

  • Ananth Ranganathan
  • Sven Koenig

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Autonomous Navigation
  • Autonomous Systems
  • Computer Programming
  • Control Systems
  • Dead Reckoning
  • Motion Planning
  • Navigation
  • Robot Navigation
  • Robotics
  • Robots
  • Simulations
  • Travel Time

Fields of Study

  • Computer science
  • Engineering

Readers

  • Distributed Systems and Data Platform Development
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Machine Learning Algorithms
  • Autonomy
  • Autonomy - Autonomous System Control