CHREC Kickoff Meeting

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Tuesday 5 Dec Wednesday 6 Dec Wednesday 6 Sep

• CHREC Kickoff Meeting
• December 5-6, 2006

Mike Wardlaw Office of Naval Research
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Developing Capability for the Navy and Marine
Corps after Next
Autonomous Unmanned Networked Systems

• Undersea Persistent Surveillance
• Remote Sensing/Disposal
• Autonomous aerial and undersea vehicles/swarms

REMUS
Silver Fox
Advanced Mine Detection System

• Explosive Ordnance Disposal
• Surveillance/ Reconnaissance
• Mine Countermeasures

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DoN Capabilities Enabled by Autonomous Vehicles

• Strike
• Mine Warfare
• Maritime Domain Awareness
• Intelligence, Surveillance, Reconnaissance
  (ISR)
• Anti-Submarine Warfare (ASW)
• Force Protection

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ONR Vision for Autonomous VehiclesNetworked and
Multi-Domain
Autonomous Systems
Networked Systems and Intelligent Teams
Vehicle Teaming
Air
Advanced Tactical Reconnaissance
Joint Navy/DARPA
Cross-Service
Land
Joint Navy/DARPA
Gladiator
Gunslinger
Sea Surface
Remote - Rigid Hulled Inflatable Boats (RHIBs)
USSVs
Naval Unique
Bluefin
Gliders
Undersea
Remus
Two Vehicle Cooperative Minehunting
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Technical Areas of Emphasis

• Intelligent Autonomy
• Vehicle Teaming and Swarming
• Small, High Endurance, High Power-Density Systems
• Automated Image Understanding
• Miniaturized Sensors

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Intelligent Autonomy
Near Term
Far Term
Common Human Interface with Autonomous Vehicles
Rules Of Engagement for Fully Autonomous UAV
Replanning
Common Dynamic Replanning Software with Domain
Specific Mission Objectives
Map and navigate in complex spaces

• Challenges
• Computational Intelligence Learning, Reasoning,
  Planning, Knowledge Bases
• Human-Robot Teams collaboration and teaming

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Vehicle Teaming and Swarming
Near Term
Far Term
Cooperative Minehunting
Urban operations with teams of UXVs
Fast Computational Methods for Safe Control of
UAVs
One-to-Many

• Challenges
• Communications in highly challenging environments
• Intelligent networks that can prioritize
  information, relay time critical info, maintain
  local storage as required
• Natural/intuitive modes of interaction (speech,
  gesture, etc.) for high-level control of UXV teams

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Small High Endurance, High Power-Density Systems
Near Term
Far Term
LiSO2 Cell
Fuel Cells
Small Heavy Fuel Engine
UAV Integrated Power/Propulsion System

• Challenges
• Unmanned systems must meet safety requirements
  for the manned platforms from which they deploy
• Low/no signature, long-endurance, air-independent
  power sources

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Automated Image Understanding
Near Term
Far Term
Object Recognition and Alerting Warfighters to
Threats
Track Recognize Human Activity
3D reconstruction from video
Underwater Image Enhancement

• Challenges
• Developing methods for integrating image and
  intelligence (SIGINT, COMINT, HUMINT, )
• Fast and robust computational methods for image
  processing
• Developing methods for analyzing image formation
  in high-scattering media, e.g. water

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Miniaturized Sensors
Near Term
Far Term
Chem Sensor
Compact HSI Sensor
Wasp
Biocollector
BeeBee Synthetic Aperture Radar
LWIR Sensor
Robo Fly

• Challenges
• Development of ultra-low power electronics
• Development of nanoscale fabrication/manipulation/
  inspection processes
• Miniaturization of conventional transistors is
  reaching fundamental limits

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AUVSI and ONR's 9th InternationalAutonomous
Underwater Vehicle Competition August 2-6, 2006
9th International AUV CompetitionFinal
Standings University of FloridaDuke
UniversityEcole de technologie
superieureUniversity of Rhode IslandUniversity
of Texas at DallasMassachusetts Institute of
TechnologyCornell UniversityUniversity of
Central FloridaNorth Carolina State
UniversitySouthern Polytechnic State
UniversityUniversity of TorontoVirginia
TechUniversity of OttawaUniversity of
VictoriaAmador Valley High School Georgia
TechSan Diego City CollegeUniversity of
Colorado DenverUniversity of Southern
CaliforniaKyushu Institute of TechnologyIndian
Underwater Robotics Society Best New Entry -
University of TorontoBest New Design- University
of Central Florida
UFla
Duke
PEGGY PEATTIE / Union-Tribune Carlo Francis
glanced over at the unmanned vehicle he designed
for the University of Florida as the rest of the
team studied information on laptops before
putting it in the water.
PEGGY PEATTIE / Union-Tribune Ian Wang (left)
showed his despair as the minutes slide away
during his Cornell team's demonstration time in
the final round of the ninth annual International
Autonomous Underwater Vehicle Competition
yesterday. Paul Wade (right in water) helped with
positioning.
UToronto
UCF