| Team Jefferson Robot: "Tommy" 
                    Body: Custom silver-egg-shaped design based on a dune
                    buggy
                   
                    Affiliations: Hobbyists/Perrone Robotics
                   Hometown: Charlottesville, VA Leader: Paul Perrone Team size: 8 
                    Budget: ~$60,000 on engineering/parts, ~$30,000 on
                    travel
                   
                    Key technologies: Perrone RoboticsTM
                    patent pending MAXTM (Mobile Autonomous X-bot)
                    general-purpose robotics software platform running in an
                    open Java-based environment.
                   
                    Biggest challenge(s): With only $60,000 for parts, 10
                    person-months of software development time, and a single
                    $200 processor card, one software guy tried pulling together
                    a small multidisciplinary team of folks to demonstrate a
                    "faster and cheaper" approach for building autonomous
                    vehicles.
                   
                    Race results: Did not qualify despite scoring
                   
                    What they're up to now: Pursuing licensing and
                    integration of MAX platform for various robotics and
                    automation applications. Created "Tommy Jr.," a smaller
                    platform based on an off-road go-kart frame for application
                    to outdoor surveillance, security, and payload delivery. A
                    few team members are still involved with these projects,
                    while others are back to their day jobs and school.
                   
                    Where the vehicle is now: A rebuilt Tommy resides in
                    the Perrone workshop in Charlottesville and continues to be
                    used for demonstration and exhibition at conferences and as
                    an evolving test platform for autonomous ground vehicle
                    R&D.
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