Randomized Search Strategies With Imperfect Sensors

Abstract

In two previous papers we explored some of the systems aspects of applying large numbers of inexpensive robots to real world applications. The concept of coverage can help the user of such a system visualize its overall function and performance in mission-relevant terms, and thereby support necessary system command control functions. An important class of coverage applications are those that involve a search, in which a number of searching elements move about within a prescribed search area in order to find one or more target objects, which may be stationary or mobile. A simple analytical framework was employed in the previous work to demonstrate that the design of a cost effective many-robot search system can depend sensitively on the interplay of sensor cost and performance levels with mission-specific functional and performance requirements. In the current paper we extend these results: we consider additional measures of effectiveness for area search systems to provide a broader basis for a tradeoff of coordinated versus random search models, and we explore how to deliberately achieve effectively randomized search strategies that provide uniform search coverage over a specified area.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1993
Accession Number
ADA422539

Entities

People

  • Douglas W. Gage

Organizations

  • Naval Command, Control and Ocean Surveillance Center

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Applied Mathematics
  • Boundaries
  • Computer Science
  • Detection
  • Detectors
  • Diffuse Reflection
  • Equations
  • Measures Of Effectiveness
  • Multiple Targets
  • Operations Research
  • Search Theory
  • Stationary
  • Systems Engineering
  • Target Detection
  • Unmanned Systems

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Library and Information Science
  • Systems Analysis and Design

Technology Areas

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