Heterogeneous Multi-Robot Cooperation

Abstract

This report addresses the problem of achieving cooperation within small- to medium-sized teams of heterogeneous mobile robots. I describe a software architecture I have developed, called ALLIANCE, that facilitates robust, fault tolerant, reliable, and adaptive cooperative control. In addition, an extended version of ALLIANCE, called L-ALLIANCE, is described, which incorporates a dynamic parameter update mechanism that allows teams of mobile robots to improve the efficiency of their mission performance through learning. A number of experimental results of implementing these architectures on both physical and simulated mobile robot teams are described. In addition, this report presents the results of studies of a number of issues in mobile robot cooperation, including fault tolerant cooperative control, adaptive action selection, distributed control, robot awareness of team member actions, improving efficiency through learning, inter-robot communication, action recognition, and local versus global control. Cooperative robotics, Behavior- based, Emergent, Distributed control, Fault tolerant, Action selection.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1994
Accession Number
ADA279839

Entities

People

  • Lynne E. Parker

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Autonomous Systems
  • Cells
  • Collision Avoidance
  • Computational Science
  • Control Systems
  • Cooperative Control
  • Fish
  • Guidance
  • Information Processing
  • Infrared Detectors
  • Jet Propulsion
  • Medical Personnel
  • Radio Communications
  • Robotic Swarms
  • Robots
  • Software Design

Fields of Study

  • Computer science
  • Engineering

Readers

  • Software Engineering
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

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