C4I for the Current

1
Overview
2
Innovative Partners with the Private Sector
Micro Autonomous Systems Technology
FEDERATED LABORATORY

• Competitive selection in FY96
• Collaborative management and execution of
  research program
• Focused on battlefield digitization
• Advanced Sensors
• Telecommunications
• Advanced Displays
• Many products transitioned

COLLABORATIVE TECHNOLOGY ALLIANCES

• Follow-on to FedLab (FY01 start)
• Focused on Transformation
• Advanced Sensors
• Adv. Decision Architectures
• Communications Networks
• Robotics
• Power Energy

International Technology Alliance
3
Collaboration among Government-Industry-University
researchers to achieve affordable transition of
innovative technologies

• Identify unique Army problems critical to
  realizing the Objective Force Vision that the
  commercialsector is not solving
• Focus research on technologies to solve these
  problems
• Jointly plan and execute collaborative basic
  research with our private sector partners in
  conjunction with Army RDECs, other Services,
  and non-DoD laboratories
• Leverage fast-moving commercial sector
  technology deployment
• Transition state-of-art technology from the
  commercial world to the military tech base

4
Technology for Army Transformation
Advanced Decision Architectures
Communications Networks
Robotics
Advanced Sensors (Completed in 2007)
Power Energy (Completed in 2007)
5
Advanced Decision Architectures Collaborative
Technology Alliance (ADA CTA)
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Advanced Decision Architectures Collaborative
Technology Alliance
Vision Better Faster Decisions Based on
Displayed Information

• Research Areas
• Cognitive Modeling and Metrics
• Team Communication and Collaboration
• Context-Sensitive Information Presentation
• Fusion and Intelligent Architectures

7
Success Requires Partnerships

• External Collaborations
• JFCOM J9
• Fort Leavenworth BCBL
• Robotics CTA
• Sensors CTA
• Communications and Networks CTA
• AFRL
• CERDEC
• USMA
• DARPA
• National Science Foundation
• Institute for Creative Technologies
• Flexible Display Center

• 482 publications
• 5 published books and 43 book chapters
• 28 workshops, seminars and short courses
• Millions in technology transition funding

8
Cognitive Modeling and Metrics

• Approach
• Model cognitive processes as a foundation for
  work on collaborative technologies and decision
  support systems
• Define unobtrusive methods to quantitatively
  assess users states and better support decision
  making
• Define and showcase user-centered design

The goal is to understand the cognition
underlying Soldier activities and lay the
foundation to develop decision-centered technology
9
Cognitive Modeling and Metrics

• Developed an efficient computational model of
  decision making.
• Created models to describe interactions between
  fusion processes and decision making.
• Conducted an experiment to determine how decision
  making intelligent agents can best assist S2 and
  S3 in the 3-Block Challenge scenario.

FY06-07

• Integrate spatial reasoning capabilities into the
  Graph-Based Interface Language GUI evaluation
  system.
• Computational models to predict situation
  awareness during complex scenarios.

?Graph-based Interface Language GUI Evaluation
System that combines cognitive and task models
FY08-09
Planned Transitions

• Autonomous Vehicle Operator Span of Control
  Evaluation Tool linked to cognitive models to
  assist Robotics CTA.
• Human Performance Measurement Framework for use
  in DARE.
• Models to predict how humans learn
  Recognition-Primed Decision Making for Network
  Enabled Command and Control.

10
Team Communication and Collaboration

• Approach
• Perform work to understand how individuals and
  teams make decisions, assess situations, and
  interact with technology
• Prototype and validate collaborative
  software-based tools with actual Army decision
  makers
• Provide tools and techniques to enable Soldiers
  to operate in multi-cultural environments

The goal is to improve commander and team
decision making and operations across the full
spectrum of military operations
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Team Communication and Collaboration

• Improved distributed planning activities via
  Collaborative Slide Annotation Tool during CERDEC
  JF Experiment.
• Developed C2 network analysis toolkit to help
  commanders visualize C2 structures, analyze
  effectiveness and redesign the structure, if
  necessary.

FY06-07

• Methods to facilitate decision making across
  distributed teams.
• Mission planning and replanning tools.
• Capabilities to enable Soldiers to communicate
  effectively in multi-cultural environments.
• Measures to describe and predict team performance
  and subsequent impact on overall system
  performance.

? Interface concepts driven from Goal-Directed
Task Analysis approach
FY08-09
Planned Transitions

• Display concepts to improve situation
  understanding.
• Goal-directed task analyses to LW-SI and FCS.
• Organizational Risk Analyzer that enables
  commanders to visualize relationships between
  humans, resources, knowledge, tasks missions.

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Context-Sensitive Information Presentation

• Approach
• Design, prototype, test and validate
  state-of-the-art displays to include different
  modalities of information presentation and
  interaction
• Visual
• Tactile
• Thermal
• Natural Language (speech and text)
• Develop algorithms to support Army planning
  systems

The goal is to put the Soldier in control of the
decision support environment
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Context-Sensitive Information Presentation

• Created haptic devices and guidelines for their
  use that can be used to silently communicate with
  Soldiers in the field.
• Developed and demonstrated integrated research
  environment that supports experimentation of
  integrated ADA components.
• Prototyped adaptive delegation interface to
  accomplish human supervision of multiple
  autonomous agents.

FY06-07

• Multimodal technologies (tactile, visual, speech)
  and physiological sensors systems to maintain
  contact with Soldiers in the field.
• Report on how flexible displays can optimally
  provide dismounted Soldier information
  requirements.

?Prototyped interfaces to promote efficient and
effective human-agent interaction
FY08-09
Planned Transitions

• DARE for concept exploration and experimentation.
• Tactile devices with tactor arrays to provide
  context-rich messages to dismounted Soldiers.
• User interfaces for human-robot interaction to
  provide situation awareness in complex
  environments.

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Fusion and Intelligent Architectures

• Approach
• Develop methods to efficiently fuse large amounts
  of information using automated algorithms
• Develop automated tools to support planning and
  real-time situation understanding
• Develop key principles and control algorithms for
  applying auto-adaptation

The goal is to create decision tools that support
fluent coordination and synchronization across
human-automation teams
15
Fusion and Intelligent Architectures

• Demonstrated agile software agents on FCS
  platforms.
• Demonstrated computer reasoning algorithms that
  address entity re-identification relevant to
  intelligence analysis systems.
• Conducted experiments to improve appropriate
  perception of risk in decisions that involve
  uncertain information (including asset health,
  status and location).

FY06-07

• Demonstration of fusion engine in a tactical
  overwatch scenario.
• Prototype interface to develop and assess sensor
  allocation plans.

?Algorithms to assist Soldiers in spatial
reasoning in complex terrain
FY08-09
Planned Transitions

• Agile agent infrastructure integrated with policy
  management and domain services to enable
  efficient use of network resources.
• Spatial reasoning components for integration into
  ACT-R open source cognitive modeling architecture.

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Advanced Decision Architectures
FY08 Program Direction
Transitions
Research Area
Focus

• Compendium of human performance metrics to CERDEC
• Methods to integrate decision making simulations
  to CERDEC I2WD
• Cognitive agents models to Robotics
  Collaboration ATO

• Measures
• Cognitive Processes
• Computational Models

• Cognitive Modeling and Metrics

• Social Network Analysis to Army G-2
• Dynamic Planning Tools to FCS
• Multi-cultural Collaboration Tools to JFCOM

Team Communication and Collaboration

• Culture in Teamwork
• Tools for Team Decision Making

• Visualization Technologies to Robotics
  Collaboration ATO
• Enhanced Tactile Displays to FCS
• Improved distributed planning activities via
  CSLANT to CERDEC

• Context-Sensitive Information Presentation

• Multi-Modal Displays
• Coordination of Multiple Perspectives

• Spatial Reasoning Systems to FCS
• SOS Modeling Architecture to Robotics
  Collaboration ATO and FCS
• Intelligent Agents to FCS

• Intelligent Architectures for Fusion and Planning
• Agile Computing Infrastructure

• Fusion and Intelligent Architectures

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Significant Transitions
The Fusion Engine has an impressive technical
transition record with the agencies of DARPA,
AFOSR, and CERDEC- I2WD
Displays to improve SA and understanding of
intent when communicating operations to CERDEC
SYNERGY, FCS
In process RPD-Enabled Agents to enhance
human-agent team performance to CERDEC
Displays to enable decision making on the move to
FCS
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Collaborative Technology Alliance (CTA)
Communications and Networks
Greg Cirincione ARL Collaborative Alliance
Manager Ken Young Consortium Manager, Telcordia
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Communications and Networks Collaborative
Technology Alliance

• Technical Areas
• Survivable Wireless Mobile Networks
• Signal Processing for Secure Comms and Networking
• Tactical Information Protection

Vision Enable a fully-mobile, agile,
situation-aware, and survivable lightweight force
with internetted C4I systems

• Impact and Relevance
• Enables the Soldier to operate while on-the-move
  with a highly mobile network infrastructure, and
• Under severe bandwidth and energy constraints
• Provides the soldier with jam-resistant comms in
  noisy hostile environments
• Enables dynamic spectrum, resource, and network
  management
• Provides efficient security services that protect
  wireless MANETs without reliance on strategic
  services

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CN CTA Team Overview

• ACADEMIA
• Carnegie Mellon University
• City College of New York
• Cornell
• Georgia Tech
• Princeton
• Morgan State University
• Stanford
• Texas AM
• University of California - Davis
• University of California - Riverside
• University of Delaware
• University of Maryland
• University of Michigan
• University of Minnesota
• University of Washington

• INDUSTRY
• Telcordia Technologies (LEAD)
• SPARTA
• BBN Technologies
• General Dynamics

Blue full Consortium members, Black
non-member participants
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Significant Transitions
MIMO to Classified CERDEC programs collaboration
with ACIN
MONOPATI to CERDEC Net Design
DSRC-T to CERDEC PILSNER
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Survivable Wireless Mobile Networks

• FY06-07
• Developed Controlled Dissemination Filter
  technology
• Developed MONOPATI network configuration toolset
• Characterized link lifetimes based on mobility
• Developed POMDP approach to optimal transmission
  scheduling

• FY08-09
• Domain auto-configuration with social networking
• Component-based routing analysis and design
• Network modeling capacity and scalability
  analysis techniques
• Dynamic and survivable network resource control
  for multicast flows

Objective Develop networking capabilities to
enable Armys Vision of information dominance
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Survivable Wireless NetworksAdvanced Structures
for MANET
Overall Plans

• Form advanced structures that improve key aspects
  of the underlying network.
• Develop a formal, versatile and efficient
  framework for diverse networks
• Physical and logical network
• Social, knowledge resource networks
• Dynamically adapt structures as the mission,
  network and requirements evolve

Social Networking Extensions

• Task assignment for efficient resource
  utilization and robust real time organizational
  adaptation.
• Dynamic network analysis based on real data
  collected from military installations
• Structures optimality vs. adaptability

Intrusion Detection Extensions

• Requirements for efficient and Byzantine
  attack-resistant network structures

Objective Design of a common, versatile, formal
and algorithmic framework for efficient network
configuration and assessment
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Signal Processing for SecureCommunications and
Networks

• FY06-07
• Turbo-MIMO algorithms and adaptive coding schemes
  for low-complexity spectrally efficient comms
• Developed tested efficient OFDM channel
  estimation, and synch algorithms
• Error-exponent characterization of distributed
  inference in sensor nets

• FY08-09
• MACs for MIMO, multi-packet reception and
  spectral agility
• Cross-layer design of MANETs and sensor networks
• UV and UWB communications
• Adaptive Cognitive MIMO Testbed experimentation

Objective Signal processing foundations for
advanced communications for tactical MANETs
sensor networks
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SP for Secure CNMultiple-Input Multiple-Output
(MIMO)

• Research Challenges
• Best possible trade-offs between energy and
  spectral efficiency at manageable complexity
• Adaptivity to switch between high-rate and
  high-efficiency modes

• Approach
• Adaptive MIMO signal processing, waveform design
  and experiments
• Distributed and co-located energy-efficient MIMO
  systems for anti-jam
• Distributed robust OFDM communications
• Detection and estimation in unknown MAI
• Wireless channel modeling and channel state
  information dissemination

Objective Jam-resistant links that are reliable
in harsh propagation environments, capable of
high throughputs in bursty channels
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Tactical Information Protection

• FY06-07
• Distributed cooperative detection and
  localization of in-band wormhole attacks in
  MANETS
• Byzantine-resistant routing attack detection
• Efficient group key management
• Threat models for cross-domain information flows

• FY08-09
• Distributed dynamic trust management
• Efficient group key management
• Dynamic intrusion detection hierarchies
• Specification-based intrusion detection

Objective Automated detection of vulnerabilities
and efficient security services to prevent
attacks, without compromising agility
27
Byzantine-Resistant Routing Attack Detection

• Research Challenges
• Detecting attacks in which knowledgeable attacker
  controls subset of detection components
• Assessing susceptibility/resistance of detection
  techniques to subversion

• Approach
• Localizing in-band wormholes and other covert
  tunnels
• Stealthy path probing/detection of data plane
  attacks
• Resilient cooperative detection systems
• Characterizing effectiveness, costs, resilience,
  tradeoffs

• Research Team
• SPARTA, U Maryland, U Delaware, Georgia Tech, ARL

Objective Develop and model techniques to detect
insider attacks on MANET routing and distributed
intrusion detection systems
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Transitions to CERDEC Network Design

• Research Challenges
• Lack of analytic methods and heuristics to
  understand impact of network design options and
  trade-offs
• Limitations of large-scale discrete-time,
  event-driven simulations

• Transitions from CN CTA
• Network routing analysis synthesis tools
• Domain formation analysis synthesis tools
• Network resource optimization heuristics
• Network capacity and scalability analysis
  techniques
• Routing overhead analysis

Objective Develop capabilities to assess and
analyze mobile ad hoc network designs for large
networks, such as WIN-T and FCS
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Communications Networks CTA Summary

• Metrics through 1st Qtr FY07
• Publications
• Journals 314
• Conferences 546
• Disclosures/Patents
• Invention disclosures 39
• Patent applications 15
• Patent awards 10
• Student Support
• PhDs graduated 48
• Masters 21
• Lectures
• Lectures 38
• Workshops 5
• Staff Rotation
• Staff rotations 53

• Significant research results
• Highly collaborative
• Results transitioning to key programs and
  standards
• CERDEC MOSAIC, PILSNER, TWNA, Network Design,
  I2WD programs
• DARPA CN, XGEN programs
• FCS LSI, FCS System Design and Development (Net
  Mgmt), TMOS
• JTRS Cluster 5 and Navy Digital Modular Radio
• IETF and IEEE 802.16

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ROBOTICS COLLABORATIVE TECHNOLOGY ALLIANCE
Bill Borgia Consortium Manager General Dynamics
Robotic Systems

• Jon Bornstein
• Collaborative Alliance Manager
• Army Research Laboratory

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Robotics CTA Overview
Army Needs
Experience
Applied Research


Using the best resources in Government, Industry
and Academia to develop and validate robotic
technologies that meet current and future Army
needs
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Robotics CTA Task Areas

• Requires advancing the state of the art in three
  critical areas
• Perception
• Intelligent Control
• Human Machine Interface

• Requires integrating research advances from all
  three areas using a system-level approach to
  provide a mechanism for
• Field experimentation and research validation
• User input

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Robotics CTA Members and Objectives
Consortium Members
Objectives

• General Dynamics
• Robotic Systems
• (Lead Industrial Partner)
• Carnegie Mellon University
• Applied Systems Intelligence
• Jet Propulsion Laboratory
• Alion Science Technology
• BAE Systems
• Sarnoff Corporation
• SRI International
• Florida AM University
• University of Maryland
• PercepTek
• Robotic Research
• Signal Systems Corp
• Howard University
• NC AT University
• University of Pennsylvania
• Skeyes Unlimited

Technical Areas

• Make the research investments that support the
  Armys robotic system development goals
• Develop perception technologies that allow
  robotic vehicles to sense and understand their
  environment
• Develop intelligent control technologies and
  architectures enabling robotic systems to
  autonomously plan, execute, and monitor
  operational tasks undertaken in complex, tactical
  environments
• Develop human-machine interfaces that allow
  soldiers to effectively task robotic systems and
  minimize operator workload.

• Advanced Perception
• Intelligent Control Behavior Development
• Human / Machine Interfaces

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Robotics CTA Member Distribution
University of Maryland
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Advances in Sensors and Perception
LADAR Development Processing Algorithms
Terrain Classification
Moving Agent Understanding
Air / Ground Mid-Range Sensing
36
Advances in Intelligent Control
Global Planning for Robotic Vehicles
Local Planning for Robotic Vehicles
2007
Tactical Behaviors
Collaborative Operations
37
Advances in Human Machine Interface
Scalable Human Machine Interfaces
Multi-Modal Input
Workload / Trust in Automation
HMI Interface Extensions
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Evaluation and Experimentation Overview
39
Hardware-in-the-Loop Simulation

• Capability Developed in FY 2007
• Leverages Visualization Technology from COTS
  Gaming Technology
• Exploits Graphics Technology
• to Emulate Vehicle Sensors

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RCTA FY07 Metrics
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RCTA Transitions to FCS ANS

• Provided the technical foundation for FCS-ANS and
  the demonstration in 2003 that was instrumental
  in funding FCS unmanned ground systems
• Field-tested LADAR hardware
• LADAR processing algorithms for obstacle
  detection, classification algorithms for obstacle
  detection, and terrain classification
• Engineering visualization tools for LADAR and
  vehicle planner development
• Field-tested robotic testbed platforms (with
  interfaces to navigation sensors), capable of
  data collection and archiving in realistic
  tactical environments
• LADAR optics, TX/RX electronics and processing
  firmware (FFT, multi-pulse, ranging, etc.)
• Passive perception system algorithms stereo
  correlator, rectification and pyramid algorithms

42
RCTA Transitions to TARDEC VTI Advanced
Development Programs

• Hardware and software perception sensors
• Sensor processing algorithms, including
  pedestrian detection algorithms
• Vehicle planners
• Planning algorithms via Terrain Reasoner
• Selected tactical and cooperative behavior
  algorithms
• Perception technologies from the 3500-pound XUV
  testbed to the 18-ton Stryker vehicle
• SMI related components

43
RCTA Transitions to PM-FPS MDARS

• Perception Sensors (LADAR and EO/IR)
• Sensor processing algorithms
• Vehicle planners and OA Planning algorithms
• LADAR optics and TX/RX electronics
• LADAR processing firmware (FFT, multi-pulse,
  ranging, etc.)
• Acadia Vision Processor

44
RCTA Transitions to AATD UACO

• UGV Perception Sensors and Demonstration
  Platforms
• UGV and LADAR Sensor Processing Algorithms
• Vehicle planners and OA planning algorithms
• Market-Based Collaborative Tasking Algorithms
• SMI Interface, Decision Support System, and
  Terrain Reasoner
• Air / Ground Cooperative C2
• Test and Demo Facilities

45
RCTA Transitions to MDARS

• Entered Low Rate Initial
• Production in December 2007
• Perception Sensors (LADAR
• and EO/IR)
• Sensor processing algorithms
• Vehicle planners and OA
• planning algorithms
• LADAR optics and TX/RX
• electronics
• LADAR processing firmware
• (FFT, multi-pulse, ranging, etc.)
• Acadia Vision Processor

46
Robotics CTA
Planning for dynamic environments
Collaborating robots
Scalable interfaces
Terrain classification
Geometric planning
Best information planning
LADAR
Planning with adversaries
Multi-modal interfaces
Personnel detection
Long-range terrain classification
Control for difficult terrain
Providing key technology for future Army unmanned
systems
Video
Mid-range perception
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Micro Autonomous Systems and TechnologyCollabora
tive Technology AllianceJoseph N.
MaitCooperative Agreement Manager
48
Autonomous System Technologies
Micro-Autonomous System Technologies breeding a
new class of Soldier assets
Autonomous Mobility and Dexterous Manipulation fo
r Man-Portable Systems
Large-Scale Robotics Technologies
supporting Maneuver Forces
Autonomous System Technologies provide the
Soldier with superior situational awareness in
mounted and dismounted operations
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(No Transcript)
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Micro Autonomous Systems and Technology
To enhance tactical situational awareness in
urban and complex terrain by enabling the
autonomous operation of a collaborative ensemble
of multifunctional, mobile microsystems
51
MAST Key Characteristics and Implied Advantages

• Small Scale
• Maneuver in confined spaces
• Organic asset for small units
• Stealth
• Reduced logistics
• Single Platform Autonomy
• Reduced human control for navigation
• Collective Behavior
• Reduced human control for mission completion
• e.g., spatially locating potential threats based
  on sensor signatures

52
Operational Scenarios

• Scenario 1 small unit building search
• Autonomous navigation in benign indoor
  environment with human mission control
• Scenario 2 small unit cave search or
  demolished building
• Autonomous navigation in complex environment
  with human mission control
• Scenario 3 small unit perimeter defense
• Autonomous navigation in complex environment
  with autonomous mission control

53
Scenario 0 Operationally-significant
capabilities demonstrations

• Scenarios 1 through 3 describe a vision of future
  capabilities
• Mobility and collective behavior of small
  platforms are two critical capabilities that have
  operational significance
• Tagging, tracking, and locating use a single
  mobile, autonomous ground platform to plant tags
  surreptitiously on persons or conveyances
• Communications in complex terrain, e.g.,
  buildings or caves use a mobile platform
  collective to establish a robust communications
  link matched to local topography without the need
  for hand emplacement
• Deception and diversion use a mobile platform
  collective mounted with nonlethal pyrotechnics to
  create a diversion prior to building assault

54
MAST CTA

• Integrated Academic-Industrial-Government
  Alliance
• Basic research
• Facilitate transition of results for use by
  government and industry
• 5-10 year program (award FY08Q2)
• 7.5M per year
• Builds on success of previous Collaborative
  Technology Alliances

55
MAST CTA Research Challenge
Vision
Current state-of-the-art
Stanley Winner, 2005 DARPA Grand Challenge
Scale imposes fundamental limits on system
design. It is not possible to scale down existing
macro-scale systems.
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Performance Limiters

• Environment
• Disturbances larger than vehicle size complicate
  stability and control issues
• Unstructured environment complicates guidance,
  navigation, and distributed behavior due to lossy
  communication lack of GPS
• Dynamics in unstructured environment complicates
  distributed behavior
• Low power, palm-sized platform
• Affects guidance, navigation and control for
  single platform autonomous operation
• Affects computation, sensing, communication for
  distributed autonomous behavior
• Increases need for multifunctional structures to
  increase efficiency
• Increases requirements for energy management
  (recovery)
• Increases requirements for direct
  chemical-to-mechanical conversion
• Fabrication
• Increased friction heat transfer due to
  increased surface-to-volume ratio
• Reduced system reliability due to small mass
• Increased complexity due to need for
  multifunctional structures

57
Representative Research Challenges

• MICROSYSTEM MECHANICS
• Achieve stable aerodynamic performance in
  unsteady vortex-dominated flows at low Reynolds
  number
• Create lightweight materials and mechanically
  efficient structures for articulated and adaptive
  small-scale air and ground platforms
• MICROELECTRONICS
• Increase understanding of physics of electrical
  and optical characteristics when scales are
  comparable to wavelengths and minimum feature
  sizes
• Develop new computing architectures to insure
  stable and reliable operation for low power
  operation
• PROCESSING FOR AUTONOMOUS OPERATION
• Achieve animal-like intelligence and navigation
  with limited power, limited resolution sensing,
  limited bandwidth, and low level processing
• Understand fundamental limits and tradeoffs in
  processing, communication, sensing, and mobility
• INTEGRATION
• Understand and exploit intra-platform
  interactions and efficiencies in a collaborative
  ensemble of microsystems
• Understand the relationships between goals,
  system characteristics, and physical structure,
  e.g., performance vs. flexibility trade-offs

58
Micro Autonomous Systems and Technology
59
Hair-based Sensing And ActuationKhalil Najafi,
University of Michigan

• Nature utilizes hair for a variety of sensing and
  control functions, e.g., air flow, temperature,
  humidity, and body temperature control

High-aspect ratio polymer hairs, that are
transferred on top of CMOS circuits
Hair-Like Sensing Actuating Elements can be
fabricated using MEMS technology in arrays with
various shapes functionality
60
Capability ChallengeShankar Sastry, UC-Berkeley

• Scenarios for capability challenges will be
  designed using performance metrics for individual
  and system collective capabilities
• Capability Challenge will occur inside MAST
  simulation environments

• Benign outdoor terrain plus office-like
  environment
• Abstract models of candidate microsystems will be
  developed and the experiment will be conducted
  via simulation
• Non-traditional metrics studied in System of
  Microsystems project and MIDAS will provide
  required capabilities for MAST systems

• Office-like Environment (2D)
• Modest Obstruction
• Mirrors/Transparent Obstacles

61
Capability Challenge Inputs
62
Capability Challenge Outcomes

• Results from the Capability Challenge will
  provide
• Microsystem Mechanics Center quantitative data
  on steerability of micro-platforms with remote
  commands
• Microelectronics Center propagation models for
  indoor environments
• Processing for Autonomous Operations Center
  quantitative data on limitations of indoor
  coordination given limited flight space and
  visibility
• Integration Center quantitative data for mission
  planning models, e.g., mobility and communication
  ranges, duration of operations, and common
  mission failure modes

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Experimentation Site

• Establishes a research epicenter for MAST
  technology integration demonstration
• Facilitates collaborative research
  experimentation by providing
• Rotational office space
• Innovative, collaborative workspace
• Lab space
• Well instrumented facilities

Available June 2009

• Indoor Facility
• 45 x 40 x 25
• Vicon Tracking system

• Outdoor Facility
• Situational Realism
• Modular Structures
• Reconfigurable
• Transportable

Potential Outdoor Structure
Vicon Tracking
64
Micro Autonomous Systems and Technology
MAST seeks to advance capabilities in future
autonomous platforms through multidisciplinary
research that emphasizes both individual
technologies and their interactions.
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Americas Laboratory for the Army