reu 2004 computer science and engineering department the university of texas at arlington research...

REU 2004

Computer Science and Engineering DepartmentThe University of Texas at Arlington

Research Experiences for Undergraduates in Distributed Rational Agents

REU 2004 Distributed Rational Agents

Research projects will generally involve small groups of students (1 - 3) working with graduate students and a faculty advisor.

Research Areas:

Intelligent Device Control

Connected Devices

Home Simulation

REU 2004Distributed Rational Agents

Goals: Learn research methodologies Perform research in the context of an on-going project Develop agent technologies

Course Requirements: Classroom sessions will cover basic materials Every student will present her/his research results Every student will write a report of the work At the end of the program all results will be presented in an "open-house" workshop

Computer Science and Engineering DepartmentThe University of Texas at Arlington

MavHome: An Intelligent Home Environment

Motivations

Unified project incorporating varied AI techniques, cross disciplinary with mobile computing, databases, multimedia, and others

High visibility Possible commercial

implications

Smart House

Face recognition, automated door entry

Smart sprinklers

Lighting control

Door/lock controllers,Surveillance system

Robot vacuum cleaner

Robot lawnmower

Intelligent appliancesClimate control

Intelligent Entertainment

Automated blinds

Remote site monitoring and controlAssistance for disabilities

UTA MavHome Capabilities

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

Smart Home - An Adaptive Environment

Smart Home is a home environment that adapts to the inhabitants

It has to sense the state of the home and the presence of people

It has to predict their behavior

It has to make decisions in order to automate the home

MavHome Architecture

MachineLearning

UTA MavHome Components

Decision Layer Hierarchical Reinforcement Learning

Information Layer Reactive / Proactive Information Repository Predicting inhabitant and house behaviors Mobility prediction

Communication Layer Intelligent routing Supporting location-aware / context-aware services

Specialized Agents Smart distributed sensor network Personal service robots Multimedia agent

REU Summer Projects

Interfaces for Automatic Health Monitoring Acquisition of TV Viewing Preferences from

Closed Captioning Interface and Visualization of Home Performance

Measures Interfaces and Control of Virtual Appliances Optimized Human Interfaces for Intelligent

Environments Anomaly Detection and Identification in Smart

Homes Voice over IP through Robotic Assistants 3-D Distributed Computer Modeling for Home

Simulation

REU Summer Projects

Integrated Automatic Entry System using Face, Voice, and Fingerprint Recognition

In-Door Localization Using Wireless Signals Robot Vision and Locomotion for AIBO dog Mobile Robot Control

Additional Information

Detailed MavHome description:

http://ranger.uta.edu/smarthome

REU class materials:

http://ranger.uta.edu/˜reu