Automated Synthesis of Multi-Agent Control

Abstract

We have been pursuing a synthetic approach to studying the problem of controlling complex multi-robot systems by simultaneously developing a theory and testing it on complex domains consisting physical mobile robots. This process allows us to evaluate, improve, and further develop our theory, while producing a set of useful software and hardware applications. Our approach is behavior-based; the robots use a set of behaviors (parametric, goal-achieving control laws) as a substrate for control, representation, and learning. This approach scales well to large multi-robot systems, and enables us to flexibly explore complex problems such as the coordination of decentralized groups and learning in such distributed systems.

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Document Details

Document Type
Technical Report
Publication Date
Sep 14, 2000
Accession Number
ADA382439

Entities

People

  • Maja Matarić

Organizations

  • University of Southern California

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Climate Change
  • Cognitive Science
  • Collision Avoidance
  • Computational Science
  • Computer Programming
  • Computer Science
  • Control Systems
  • Intelligent Systems
  • Language
  • Machine Learning
  • Markov Models
  • Probability
  • Robotic Swarms
  • Robotics
  • Robots

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Robotics and Automation.
  • Theoretical Analysis.

Technology Areas

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