Coordinated Teams of Reactive Mobile Platforms

Abstract

This paper presents techniques for exploiting redundancy in teams of mobile robots. In particular, the authors address tasks involving the kinematic coordination of several communicating robots. Teams are modeled as highly redundant spatial mechanisms for which multi-objective, concurrent controllers are constructed using a generalization of null-space control. The goal is to develop a methodology in which the robustness and error suppression in a control theoretic substrate can be used to preserve critical properties in teams of reactive robots. The resulting "safe" control options can then be explored while guaranteeing global compliance with system specifications. The proposed architecture depends on a set of concurrent, low-dimensional control processes that interact in a well-defined manner. Cascaded null space projections and coordination templates are used to manage control interactions across platforms that actively maintain constraints for pairs of robots. Pair-wise policies can then be combined to represent coordinated, multi-robot tasks. To illustrate the approach, the authors demonstrate a distributed control that maintains critical connectivity in line-of-sight communication networks.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2005
Accession Number
ADA439657

Entities

People

  • J. Sweeney
  • Roderic A. Grupen
  • T. J. Brunette
  • Yaping Yang

Organizations

  • University of Massachusetts Amherst

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Computer Programming
  • Computer Science
  • Control
  • Control Surfaces
  • Control Systems
  • Cost Effectiveness
  • Guarantees
  • Information Operations
  • Line Of Sight
  • Motion Planning
  • Platforms
  • Robotic Swarms
  • Robots
  • Simulators
  • Stationary
  • Vascular System Injuries

Fields of Study

  • Computer science
  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Parallel and Distributed Computing.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Autonomous System Control
  • Space
  • Space - Spacecraft Maneuvers