Surf Zone Reconnaissance

Abstract

The long-term goal of this project is to develop autonomous multi-robot systems that could replace human divers that are currently performing dangerous reconnaissance and mine neutralization missions in the Very Shallow Water and Surf Zone regions. We are focusing on swarms of small Unmanned Bottom-crawling Vehicles (UBVs) for this purpose. For the purpose of reconnaissance, the swarms would augment overhead (optical) systems to provide seamless maps of littoral areas from the VSW up onto the beach. The UBV swarms could perform many additional missions, including target marking, lane marking, neutralization, and surveillance. The principal objective is to develop the essential supporting technologies that will make autonomous UBV swarms viable. These technologies include close-range sensors, detection-classification algorithms, and underwater communication and navigation "baseline" systems. The focus is on low cost, low power systems that will fit within a 5000 in. or smaller, expendable platform. Several earlier efforts have proven that vehicles of this size can have the mobility and length of life required to perform area search, neutralization, and reconnaissance missions. By developing the enabling technologies rather than concentrating on one specific mission, many missions will be possible.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1998
Accession Number
ADA551140

Entities

People

  • Charles L. Bernstein

Tags

Communities of Interest

  • Autonomy
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Autonomous Systems
  • Autonomous Vehicles
  • Collision Avoidance
  • Dead Reckoning
  • Detection
  • Detectors
  • Frequency
  • Frequency Shift
  • Magnetic Anomalies
  • Magnetic Moments
  • Materials
  • Measurement
  • Navigation
  • Reconnaissance
  • Simulations
  • Unexploded Ammunition

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Coastal Oceanography
  • Maritime and Naval Warfare Studies

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - UAVs