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Machine Intelligence Laboratory
Electrical and Computer Engineering Department
  

NEWS
  • MIL Lab Location: MAEB 325
  • Next MIL Meetings: TBD
  • Join MIL's listserve!
  • MIL Webmail

  • The Machine Intelligence Laboratory (MIL) provides a synergistic environment dedicated to the study and development of intelligent, autonomous robots. The faculty and students associated with the laboratory conduct research in the theory and realization of machine intelligence covering topics such as machine learning, real-time computer vision, statistical modeling, robot kinematics, autonomous vehicles, teleoperation and human interfaces, robot and nonlinear control, computational intelligence, neural networks, Hidden Markov Models (HMMs), and general robotics. Applications of MIL research include underwater unmanned vehicles, autonomous land vehicles, swarm robots, humanoid robots, Micro-Air Vehicles (MAVs), direct brain-machine interfaces (BMIs), and autonomous household robots.

    MIL's SubjuGator is the three time and defending champion autonomous submarine of the AUVSI/ONR underwater competitoin.

    In the fall of 2005, MIL physically moved next door to CIMAR (The Center for Intelligent Machines and Robotics) in the Mechanical and Aerospace Engineering Department. We relocated our lab facilities and faculty offices adjacent to the CIMAR labs and offices in order to streamline our collaborations. With MIL (from Electrical and Computer Engineering Department) and CIMAR working together, the possibilities are incredible.
    Announcements
    • The Urban NaviGator, our robot car created for the DARPA Urban Grand Challenge, by UF and CIMAR/MIL's Team Gator Nation.
      • Good Morning America (ABC) video at UF from March 10, 2008 includes footage of our Team Gator Nation DARPA Urban Challenge vehicle.
      • Proposal video of our Team Gator Nation DARPA Urban Challenge Entry.
      • A story about the DARPA Grand Challenge (which included a CIMAR robot called NaviGATOR) was on the Daily Planet on October 14, 2005. The video segment can be seen here (from the Discovery Channel website)..
    • SubjuGator video for 2005-2006.
      • A story about MIL's SubjuGator was televised on Discovery's The Science Channel (Cox Digital Cable channel 101 in Gainesville) on Friday, February 10, 2006 at 8pm and 11pm (EST) on a show called Discoveries this Week. It also was shown on Feb 10 at 11pm, on Feb 11 at 3am & 10am, Feb 12 at 8pm & 11pm and on Feb 13 at 3am, 9am & 1pm. You can watch this video here. I'm sorry about the poor sound quality.
      • The same story (as above) about MIL's SubjuGator was on the Daily Planet show on Discovery Channel (Canada) on November 2, 2005. The video segment can be seen here (from the Discovery Channel website).
    • New to MIL? Join the MILers mailing list here. There are also project mailing lists available here.
    SubjuGator

    SubjuGator is an autonomous underwater vehicle designed and built by graduate and undergraduate students of the Machine Intelligence Lab (MIL). SubjuGator has competed eight times in the Association for Unmanned Vehicles Systems International (AUVSI) underwater competition, placing in the top 3 seven times including first place in 2005, 2006 and 2007. More>>
        Koolio

    Koolio is a traveling autonomous refrigerator robot - featured on MSNBC's Countdown with Olbermann on April 21st, 2004. It is designed to autonomously deliver refreshments on demand (via the web). Un fortunately, it only works in the 3rd floor of Benton Hall at the University of Florida - which happens to be thesfloor houses the Machine Intelligence Lab... More>>
    Gnuman

    Gnuman's new platform is being developed and is founded on a tripod which will allow the robot to travel in any direction with no explicit "front" or "back". Each wheel is independent of the others in both steering and drive which allows the robot to hypotrochoid (spin) as it moves...
    More>>
    Micro Air Vehicles

    We seek to develop vision-based autonomy for small-scale aircraft known as Micro Air Vehicles (MAVs). Development of such autonomy presents significant challanges, in no small measure because of the inherent instability and the size of these flight vehicles. We are developing vision processing algorithms and custom on-board hardware to enable vision-based autonomy in a multiude of different environments. More>>

      Webmaster 325 Mechanical & Aerospace Building B, PO BOX 116300, Gainesville, FL 32611 (352) 392-6605 Updated: December 2006