Adaptable Autonomous Systems. Dr. Jason Stack
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1 Adaptable Autonomous Systems Dr. Jason Stack
2 Why Autonomy? Not enough people to Accomplish today s missions Dull, dirty, & dangerous The how Accomplish tomorrow s missions Persistent, pervasive, perceptive The what Mine Clearance Persistent Surveillance Multi-modal Data Mining Data Analysis Counter Asymmetric Threats & UxVs Large Sensor Network Optimization
3 Autonomy Investment Advanced Technology Development Prototype problem-specific automated & autonomous systems Applied Research Focus domain-specific research combining automation & autonomy Basic Research Foster broad, deep understanding & advancement in autonomy
4 Basic Research Science of Autonomy Purpose: Establish multi-disciplinary, crossdepartment research in autonomous behavior Process: ONR & NRL SMEs defined 4 Focus Areas, NRE vetted, NWDC + NRE tabletop wargame Program Officers: Dr Steinberg (lead), Dr Bello, Dr Brizzolara, Dr Kamgar-Parsi, Dr McKenna, Dr Paluszkiewicz and Dr Stack
5 Basic Research Science of Autonomy 4 Focus Areas with articulated hard problems ** Continual refinement of Focus Areas **See ONR website, Office of Innovation report on Autonomous Systems Innovation Summit
6 Applied Research Unmanned Air Systems (UAS) Program Manager Safe shipboard & airspace operations integrated with manned aircraft for naval missions Control of large numbers of heterogeneous unmanned systems in complex airspaces Dr Marc Steinberg Sustainable operations in challenging weather & environmental conditions Increased tactical role (cargo, casualty evac, force protection, wingman for dismounted marine, riverine) Shared & distributed control to get UAS Services to the Tactical Edge
7 Program Officer Applied Research MCM Data Understanding Program Goals Dr. Jason Stack Program Focus Automation Autonomous Behaviors Knowledge Sharing Human Interaction Decrease Tactical Timeline Env characterization & performance estimation Intelligent prep of the operational env (IPOE) Actionable tactical behaviors within mission objectives Assist CO s adjudication of time, risk, etc Man out of the Minefield Real-time ATR Adaptive coverage vs. reacquire / identify Assimilate tactical data into mission information Architecture for supervision vice control
8 Advanced Development Aerial Cargo Systems Autonomous Aerial Cargo & General Utility Systems Intelligent autonomous capabilities for future aerial cargo / utility systems Timely, affordable, reliable, and shipboard-compatible supply, retrograde, and casualty evacuation Landing at unprepared LZ under demanding conditions Dynamic Mission Management enroute Modular capabilities developed on open system Service Oriented Architecture Novel human interfaces, to include optional manning Program Officer Mr. John Kinzer 3D Flash LADAR Low Cost MMW Radar
9 Advanced Development Large UUV Technologies Program Officer Mr. Dan Deitz
10 Advanced Development USSV Autonomy Unmanned Sea Surface Vehicle (USSV) Program is developing intelligent autonomy for Autonomous mission planning Perception (based on EOIR and radar, with LIDAR to be added in the future) Tactical behaviors (e.g. avoid obstacles, follow, intercept, etc) Vehicle health monitoring Reactive & deliberative autonomy Program Officer Dr. Bob Brizzolara Example of MCM USV Stereocamera tracking of 11m RHIB from USV. Avoidance of static obstacles--bird s-eye view
11 Other Program Officers You Should Meet Program Program Officer Code Room Machine Reasoning & Intelligence Behzad Kamgar-Parsi 31 Fairfax Bio-Inspired Autonomous Systems Tom McKenna 34 Lincoln Socio-Cognitive Architectures for AAS Paul Bello 34 Lincoln Science of Autonomy Marc Steinberg 35 Jefferson Autonomy of Mixed Initiative Large Teams Martin Kruger 30 Arlington Human Robotic Interaction Tom McKenna 34 Lincoln UAS Autonomous Collision Avoidance System (ACAS) Autonomous Aerial Cargo / Utility System (AACUS) Robert Hintz 31 Fairfax John Kinzer 35 Jefferson Unmanned Sea Surface Vehicle (USSV) Bob Brizzolara 33 Roosevelt UGV Autonomy / Perception Jeff Bradel & Keith Hammack 30 Arlington Large Displacement UUV Dan Deitz 32 Prince William Undersea Warfare Dave Johnson (ASW) & Tom Swean (MCM) 32 Prince William
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Exhibit R-2, RDT&E Budget Item Justification: PB 213 Navy DATE: February 212 COST ($ in Millions) FY 211 FY 212 Total FY 214 FY 215 FY 216 FY 217 To Complete Total Total Program Element - 75.7 122.481-122.481