Cooperative Multiagent Robotic Systems

Abstract

Teams of robotic systems at first glance might appear to be more trouble than they are worth. Why not simply build one robot that is capable of doing everything we need? There are several reasons why two robots (or more) can be better than one: Distributed Action: Many robots can be in many places at the same time; Inherent Parallelism: Many robots can do many, perhaps different things at the same time; Divide and Conquer: Certain problems are well suited for decomposition and allocation among many robots; and Simpler is better: Often each agent in a team of robots can be simpler than a more comprehensive single robot solution.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1998
Accession Number
AD1154122

Entities

People

  • Ronald C. Arkin
  • Tucker Balch

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Counter WMD

DTIC Thesaurus Topics

  • Chemical Reactions
  • Compilers
  • Computer Language Translators
  • Computer Programs
  • Decomposition
  • Digital Information
  • Dissociation
  • Generators
  • Maintenance
  • Semantics
  • Simulations

Fields of Study

  • Computer science

Readers

  • Educational Psychology
  • Robotics and Automation.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

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