Sensor Abstractions to Support Many-Robot Systems

Abstract

The rapid evolution of micromechanical fabrication techniques and other sensor, effector, and processing technologies will soon make it possible to employ large numbers of very inexpensive autonomous mobile robots with fairly limited sensor capabilities to perform real-world missions in the ground, air, space, and underwater environments. One approach to such a system is to realize desired emergent collective group behaviors with simple sensor-based reactive planners. The initial thrust of this effort has been to develop generic ensemble behaviors, such as blanket, barrier, and sweep coverage, and various deployment and recovery modes, which can address a broad spectrum of generic applications, both military and civilian. However, while different applications may require similar group behaviors, the sensor, information, and communications resources available to the participating individual robots may be very different. This paper outlines the many-robot approach to real-world problems solving and discusses the various roles that different types of sensors can play in such systems. Analysis and simulation results are presented to show how useful behavioral algorithms can be designed to make use of diverse information resources, and the area search problem is analyzed to derive both system measures of effectiveness and system design considerations.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1993
Accession Number
ADA265907

Entities

People

  • Douglas W. Gage

Organizations

  • Naval Command, Control and Ocean Surveillance Center

Tags

Communities of Interest

  • Autonomy
  • Ground and Sea Platforms
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Climate Change
  • Command And Control
  • Complex Systems
  • Coordinate Systems
  • Detection
  • Detectors
  • Environment
  • Measures Of Effectiveness
  • Military Research
  • Navigation
  • Simulations
  • Systems Biology
  • Systems Engineering
  • Two Dimensional
  • Vehicles

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Robotics and Automation.
  • Systems Analysis and Design

Technology Areas

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