A Hybrid Multi-Robot Control Architecture

Abstract

Multi-robot systems provide system redundancy and enhanced capability versus single robot systems. Implementations of these systems are varied, each with specific design approaches geared towards an application domain. Some traditional single robot control architectures have been expanded for multi-robot systems, but these expansions predominantly focus on the addition of communication capabilities. Both design approaches are application specific and limit the generalizability of the system. This work presents a redesign of a common single robot architecture in order to provide a more sophisticated multi-robot system. The single robot architecture chosen for application is the Three Layer Architecture (TLA). The primary strength of TLA is in the ability to perform both reactive and deliberative decision making, enabling the robot to be both sophisticated and perform well in stochastic environments. The redesign of this architecture includes incorporation of the Unified Behavior Framework (UBF) into the controller layer and an addition of a sequencer-like layer (called a Coordinator) to accommodate the multi-robot system. These combine to provide a robust, independent, and taskable individual architecture along with improved cooperation and collaboration capabilities, in turn reducing communication overhead versus many traditional approaches. This multi-robot systems architecture is demonstrated on the RoboCup Soccer Simulator showing its ability to perform well in a dynamic environment where communication constraints are high.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2007
Accession Number
ADA482841

Entities

People

  • Daylond J. Hooper

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Automata
  • Autonomous Systems
  • Classification
  • Cognitive Systems Engineering
  • Collision Avoidance
  • Communication Systems
  • Control Systems
  • Department Of Defense
  • Information Processing
  • Information Science
  • Military Applications
  • Military Operations
  • Multiagent Systems
  • Robotic Swarms
  • Simulators
  • United States Government

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computer Networking
  • Robotics and Automation.

Technology Areas

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