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Computer Science and Engineering Department The University of Texas at Arlington

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

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  1. MavHome: An Intelligent Home Environment Computer Science and Engineering DepartmentThe University of Texas at Arlington

  2. Participants Diane Cook Sharma Chakravarthy Sajal Das Piotr Gmystraciewicz Larry Holder Manfred Huber Farhad Kamangar Ramesh Yerraballi

  3. Motivations • Unified project incorporating varied AI techniques • High visibility • Possible commercial implications

  4. 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

  5. State of the Art • Resource rich • Software poor (no communication, no adaptability)

  6. 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

  7. 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)

  8. Predicting User Actions • Sequence learning • (state, action) frequencies • Frequencies + history length • MDP learning • Other factors • Time of day • Weather, health, mood, device states

  9. Proposed MavHome Site MavHome

  10. 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

  11. 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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