NAVALX MIDWEST TECH BRIDGE INNOVATION CHALLENGE … · 2020. 7. 29. · NAVALX MIDWEST TECH BRIDGE INNOVATION CHALLENGE ARTIFICIAL INTELLIGENCE FOR SMALL UNIT MANEUVER (AISUM) Wednesday,

Statement A: Distribution Approved for Public Release; Unlimited Distribution

NAVALX MIDWEST TECH BRIDGE INNOVATION CHALLENGEARTIFICIAL INTELLIGENCE FOR SMALL UNIT MANEUVER (AISUM)

Wednesday, June 10, 2020


Bill Kiser, PhD, EVP Science and TechnologyIndiana Innovation Institute (IN3)

www.IN3Indiana.com @IN3Indiana

http://www.in3indiana.com/


Midwest Tech Bridge OverviewPresented by: Anne Fields

CAPT Mark Oesterreich, USN

Commanding Officer

Janna Foxx

Technical Director



NavalX Tech Bridge Locations

5

Central Coast

Capital

Mid-Atlantic

Southern Maryland

Inland Empire

Ventura


Midwest Tech Bridge Focus Areas

Power/Energy/Battery Solutions

Modeling & Simulation

Fiber Optics

Artificial Intelligence

Data Analytics

Unmanned Aerial Systems

Cyber Security

Command and Control

Hypersonics

Microelectronics


Expand and Engage Internal and External Network

Collaboration Space

Championing the NavalX Innovation Pipeline

Widely Communicated, Targeted, Calendar of Events focused on intentional connections and collisions

Midwest Tech Bridge Success Factors


NavalX Innovation Pipeline / Video

11


2020 Innovation & Outreach Calendar

12

JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC

SMALL BUSINESS TECHNOLOGY DEMONSTRATION

INNOVATION CHALLENGE

SB TD ICTECHNOLOGY

SHOWCASE

TS

Small Business Events hosted in

communities within the Innovation

Ecosystem

ANTX Industry Day (May)Prize Challenge (May)

AI SUM (June)HACKATHON

(Jul/Sep)

MDIS (October)Opportunity for Industry

and Academia to demonstrate capabilities

to DoD.

Statement A: Distribution Approved for Public Release; Unlimited Distribution13


AISUM

Artificial Intelligence for Small Unit Maneuver

CAPT Mark Oesterreich, USN

Commanding Officer

Patricia Herndon

Technical Director

Statement A: Approved for Public Release; Distribution is unlimited

6/17/2020


Guidance & Strategy

• Executive Order on Maintaining American Leadership in Artificial Intelligence (FEB 11, 2019)

– Promote sustained investment in AI R&D in collaboration with industry, academia…

– Reduce barriers to the use of AI technologies to promote their innovative application…

– Train the next generation of American AI researchers and users

• National Security Commission on AI (NOV 4, 2019): Focus areas for funding

– Novel & robust machine learning directions

– Testing, Evaluation, Verification, and Validation (TEVV) of AI systems

– Complex multi-agent scenarios

– AI for modeling, simulation, and design

– Advanced scene understanding

• OUSD R&E AI Roadmap (MAY 22, 2020)– Deliver AI-enabled capabilities that address key mission areas

– Scale AI through a common foundation and data management approach

– Cultivate a leading AI workforce

– Engage with commercial and academic partners

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AISUM Campaign Plan

• Purpose: The IN3/NAVSEA Crane AISUM Innovation Challenge aims to

align academic and industry interest to develop innovative technologies that

explore new approaches to map, navigate, search and exploit complex

exterior, interior and subterranean environments with autonomous mobile

robotics.

• Scope: The AISUM Innovation Challenge is organized into two broad but

complimentary areas (Systems and Virtual):

– FY21: Virtual track will develop software and algorithms using virtual models of systems,

environments and terrain in simulation based events

– FY22: Systems track will develop and demonstrate physical systems in live scenarios in

complex, unpredictable and diverse environments (MUTC)

• Focus: This will be a multi-year challenge initially focused on small airborne

Expeditionary Warfighter platforms expanding to additional size and type of

platforms later.

16


Artificial Intelligence for

Small Unit ManeuverDr. Bruce Morris

Naval Special Warfare N9

Future Concepts and Innovation


AISUM Concept

• Emerging Environment and Challenges• Kinetic contested land and littoral domains to all domains (sea, air, land, cyber, space)

• Geographically 2D (rural or urban sprawl) to 3D (dense urban clutter, Sub T, surface & undersea)

• Assured electromagnetic spectrum (EMS) to denied and degraded EMS (PNT, Communications, C2)

• AISUM Concept• AISUM is the convergence of artificial intelligence, robotic autonomous systems and SOF warfighting

functions - maneuver, intelligence, and effects

• AISUM creates tactical man-machine elements optimized to gain, maintain and extend access in contested, complex and congested environments

• AISUM provides decision advantage and the precise application of effects across the competition conflict continuum

• Conceptually - Where We Are Going• Robotics, artificial intelligence, machine learning, miniaturized sensors, cloud and edge computing, secure

autonomous communication networks

• Human-machine teams capable of greater mass, precision, access, certainty, speed, and range

• Maneuver, Intelligence and Effects in contested, complex and congested environments


Foun

MANEUVERAUTONOMY

HARDWARE

SOFTWARE &INFRASTRUCTURE

TRAIN &EQUIP

HUMAN-ROBOTINTERFACE

INTEGRATE,MANUFACTURE,

TEST

Big Bets: • Maneuver Autonomy • Simulation • AI Portability

• Speed of Robot Learning

• Velocity of Robot

• Scaling of Robot Capacity & Capability

• Product Assurance

• Overcoming Robot Capability Limitations

• Robot Knowledge Transfer

• Operationalizing AISUM 12 • Intelligence of Robot

10

6

4

2

8


Technical Challenges Associated with AISUM

• Maneuver Autonomy

➢ State Estimation

➢ Mapping

➢ Scene Understanding

➢ Task Planning

➢ Motion Planning

➢ Controls

• Software and Infrastructure

➢ Simulation

➢ Data Management


AISUM Phased Approach

Phase 1• AISUM Operational

Framework

• Identify Specific Tech Challenges

• Request White Papers

• Industry/Academia Engagement

Phase 2• Build Virtual

Environment

• Create Baseline for Development and Demonstrations

• Continue improvements for future AI events

Phase 3• AISUM Challenge Event

• Staged Process:

• White Papers

• Virtual Simulation

• Real World Challenges

Phase 4• Utilize Virtual

Environment for other events

• Additional research and collaboration aligned to AI efforts

6/17/2020

21


Innovation Challenge White Papers

Any concepts or technologies

aligned to the AISUM future problem

• Novel concepts/technologies that

address the technical challenges

identified

Any concepts or technologies that

could support future events focused

on the AISUM problem

• Concepts/technologies aligned to

developing simulation environments

to develop and test AI algorithms

White papers should be sent to Kelly Stephens at [email protected] papers due 10 July 2020

mailto:[email protected]


Questions?

6/17/2020

23


Technical Capabilities


NSWC Crane AI Related Efforts

Object/Threat Recognition

• AI/ML efforts in several sensor

applications and integrating into

several platforms

Analysis and Decision Making

• AI/ML efforts in spectrum analysis

and decision aids

Data Mining

• NLP in large data stores

Autonomy and Swarm:

• Several projects focused on

developing swarm capabilities

Architectures and Maintenance:

• Research to identify appropriate

architectures to allow continual

updates

Documents

NAVALX MIDWEST TECH BRIDGE INNOVATION CHALLENGE … · 2020. 7. 29. · NAVALX MIDWEST TECH BRIDGE INNOVATION CHALLENGE ARTIFICIAL INTELLIGENCE FOR SMALL UNIT MANEUVER (AISUM) Wednesday,