Advanced Capabilities in Multi-Agent Search for the HAUV Ship-Inspection Vehicle

Abstract

The Office of Naval Research (ONR) has been investing in fundamental research in feature based navigation (FBN). The research herein will add a second vehicle to begin to look at fundamental problems associated with new challenges in multi-agent operations such as collaborative FBN and multi-agent planning—moving beyond single vehicle performance measures to more how a vehicle works in a collaborative method with other unmanned underwater vehicles (UUVs) and control centers in the operating area. The new metrics that would be tracked would include interoperability and reduced mission time. The ability to share FBN-derived maps and target waypoints between two vehicles will aid in search effectiveness and data product quality. *

Document Details

Document Type
DoD Grant Award
Publication Date
Jun 03, 2016
Source ID
N000141612102

Entities

People

  • Ryan M. Eustice

Organizations

  • Board of Regents of the University of Michigan
  • Office of Naval Research
  • United States Navy

Tags

Readers

  • Aerospace Engineering
  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control