Multi-Robot Communication-Sensitive Reconnaissance

Abstract

This paper presents a method for multi-robot communication- sensitive reconnaissance. This approach utilizes collections of precompiled vector fields in parallel to coordinate a team of robots in a manner that is responsive to communication failures. Collections of vector fields are organized at the task level for reusability and generality. Different team sizes, scenarios, and task management strategies are investigated. Results indicate an acceptable reduction in communication attenuation when compared to other related methods of navigation. Online management of tasks and potential scalability are discussed.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2004
Accession Number
ADA442667

Entities

People

  • Alan Wagner
  • Ronald Arkin

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Attenuation
  • Autonomous Navigation
  • Boundaries
  • Collision Avoidance
  • Computational Processes
  • Control Systems
  • Energy Consumption
  • Environment
  • Gain
  • Navigation
  • Reconnaissance
  • Robots
  • Simulations
  • Standards
  • Urban Areas

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Geodesy
  • Software Engineering.

Technology Areas

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