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