Human Leader and Robot Follower Team: Correcting Leader's Position From Follower's Heading

Abstract

In multi-agent scenarios, there can be a disparity in the quality of position estimation amongst the various agents. Here, we consider the case of two agents - a leader and a follower - following the same path, in which the follower has a significantly better estimate of position and heading. This may be applicable to many situations, such as a robotic "mule" following a soldier. Another example is that of a convoy, in which only one vehicle (not necessarily the leading one) is instrumented with precision navigation instruments while all other vehicles use lower-precision instruments. We present an algorithm, called Follower-derived Heading Correction (FDHC), which substantially improves estimates of the leader's heading and, subsequently, position. Specifically, FDHC produces a very accurate estimate of heading errors caused by slow-changing errors (e.g., those caused by drift in gyros) of the leader's navigation system and corrects those errors.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2010
Accession Number
ADA538163

Entities

People

  • Brandon Sights
  • David R Thomas
  • Donnie Fellars
  • Johann Borenstein
  • Lauro V Ojeda
  • Peter Bankole

Organizations

  • Naval Information Warfare Systems Command

Tags

Communities of Interest

  • Autonomy
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Collision Avoidance
  • Computers
  • Control Systems
  • Dead Reckoning
  • Inertial Measurement Units
  • Inertial Navigation
  • Inertial Navigation Systems
  • Instrumentation
  • Kalman Filters
  • Line Of Sight
  • Measurement
  • Navigation
  • Simultaneous Localization And Mapping
  • Steady State
  • Unmanned Ground Vehicles
  • Unmanned Systems

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Educational Psychology
  • Inertial Navigation Systems.

Technology Areas

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