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MavHome: An Intelligent Home Environment. Computer Science and Engineering Department The University of Texas at Arlington. Participants. Diane Cook Sharma Chakravarthy Sajal Das Piotr Gmystraciewicz Larry Holder Manfred Huber Farhad Kamangar Ramesh Yerraballi. Motivations.

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Computer science and engineering department the university of texas at arlington

MavHome: An Intelligent Home Environment

Computer Science and Engineering DepartmentThe University of Texas at Arlington


Participants

Participants

Diane Cook

Sharma Chakravarthy

Sajal Das

Piotr Gmystraciewicz

Larry Holder

Manfred Huber

Farhad Kamangar

Ramesh Yerraballi


Motivations

Motivations

  • Unified project incorporating varied AI techniques

  • High visibility

  • Possible commercial implications


Smart house

Automated blinds

Door/lock controllers,

Surveillance system

Face recognition, automated door entry

Climate control

Intelligent appliances

Remote site monitoring and control

Assistance for disabilities

Robot vacuum cleaner

Lighting control

Robot lawnmower

Intelligent Entertainment

Smart sprinklers

Smart House


State of the art

State of the Art

  • Resource rich

  • Software poor (no communication, no adaptability)


Mavhome

MavHome

  • UTA Project Unique

    • Focus on entire home

  • House perceives and acts

    • Sensors

    • Controllers for devices

    • Connections to the mobile user and Internet

  • House optimizes goal function

    • Maximize inhabitant comfort

    • Minimize cost

    • Maximize user productivity

    • Maximize security


Projects

Projects

  • CSE Projects

    • MavHome Agent Design (Piotr Gmytrasiewicz, Manfred Huber)

    • Predicting inhabitant and house behaviors (Diane Cook, Larry Holder)

    • Robot assistance (Manfred Huber, Diane Cook)

    • Multi-agent communication (Piotr Gmytrasiewicz)

    • Web monitoring and control (Farhad Kamangar)

    • Distributed sensor fusion (Farhad Kamangar)

    • Database monitoring (Sharma Chakravarthy)

    • Multimedia traffic for entertainment and security (Ramesh Yerraballi)

    • Intelligent routing, mobility prediction (Sajal Das)

  • Cross-Disciplinary Projects

    • Smart materials and structures (Civil Engineering)

    • Nano structures (Electrical Engineering)

    • Device communication (Telcordia Technologies)


Predicting user actions

Predicting User Actions

  • Sequence learning

    • (state, action) frequencies

    • Frequencies + history length

    • MDP learning

  • Other factors

    • Time of day

    • Weather, health, mood, device states


Proposed mavhome site

Proposed MavHome Site

MavHome


Mavhome layout

MavHome Layout

  • UTA Design

    • School of Architecture

    • Faculty/student designs compete

  • First floor showcases technologies

    • Hold receptions and meetings

    • Regular visitor hours

    • Webcams and virtual Internet tours

  • Second floor used for classes, research, and seminars

First Floor

Second Floor


Sources of funding

Sources of Funding

  • NSF ITR proposal pending, $5M

  • Texas ATP forthcoming, $200k

  • NIH (assistance for people with disabilities), DARPA (military applications) to be contacted

  • David Yates

    • Builder of the Intelligent Home of Tomorrow at the State Fair

    • Will contribute house

  • AT&T, contribute networking and cash

  • Nortel, $100k to Das for research

  • Friendly Robotics, robot donation

  • Motorola, Nokia, Dallas Semiconductor interested


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