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C4I for the Current

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Title: 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)
6
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
11
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.

12
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
13
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.

14
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.

16
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

17
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
18
Collaborative Technology Alliance (CTA)
Communications and Networks
Greg Cirincione ARL Collaborative Alliance
Manager Ken Young Consortium Manager, Telcordia
19
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

20
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
21
Significant Transitions
MIMO to Classified CERDEC programs collaboration
with ACIN
MONOPATI to CERDEC Net Design
DSRC-T to CERDEC PILSNER
22
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
23
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
24
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
25
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
26
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
28
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
29
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

30
ROBOTICS COLLABORATIVE TECHNOLOGY ALLIANCE
Bill Borgia Consortium Manager General Dynamics
Robotic Systems
  • Jon Bornstein
  • Collaborative Alliance Manager
  • Army Research Laboratory

31
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
32
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

33
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

34
Robotics CTA Member Distribution
University of Maryland
35
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
38
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

40
RCTA FY07 Metrics
41
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
47
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
49
(No Transcript)
50
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.
56
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

63
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.
65
Americas Laboratory for the Army
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