Coordinating a Team of Robots for Urban Reconnaisance

Abstract

Gathering intelligence about a potentially hostile environment is a critical capability for war fighters. Using a team of robots for this task is an attractive option because it allows data to be gathered quickly while simultaneously removing humans from danger. However, fielding a team of robots requires three key problems to be solved: first, the human commander must be able to efficiently interact with the robots and issue orders that they can understand; second, the system must be able to decompose orders into tasks for individual robots; and third, the robots must have the perceptual capabilities needed to operate for extended periods of time without operator assistance. In this paper, we present our solutions to these problems, and demonstrate our approaches using our test-bed which allows a single operator to control fifteen robots.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2010
Accession Number
ADA536787

Entities

People

  • Andrew Richardson
  • Edwin Olson
  • Johannes Strom
  • Mihai Bulic
  • Pradeep Ranganathan
  • Robert Goeddel
  • Ryan Morton

Organizations

  • University of Michigan

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Autonomous Navigation
  • Autonomous Systems
  • Collision Avoidance
  • Control Systems
  • Detectors
  • Global Positioning Systems
  • Ground Control Stations
  • Inertial Measurement Units
  • Kalman Filters
  • Measurement
  • Mesh Networks
  • Motion Planning
  • Navigation
  • Robotic Swarms
  • Robots
  • Three Dimensional
  • Unmanned Vehicles

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Sensor Fusion and Tracking Systems.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Machine Learning Algorithms
  • Autonomy
  • Autonomy - Human-Robot Interaction
  • Autonomy - UAVs