Project Description:

   The Black Knight is what started it all. Black Knight is an autonomous robot originally designed for the 2002 Intelligent Ground Vehicle Competition (IGVC). This robot is designed to locate GPS points and navigate courses avoiding different obstacles in its path. Black Knight has participated in the three Intelligent Ground Vehicle Competitions, scoring consistently in the top 10. One feature of the Black Knight is the ability to generate maps of its surroundings which keeps a record of obstacles and GPS points. You can get a little idea of how Black Knight has developed by reading the design reports prepared for the '03 and '04 IGVCs.

Key Features:

  • Fuzzy ARTMAP used for vision
  • Cellular Decomposition for path planning
  • Multiple cameras build environment
  • Able to display current path planning
  • Able to reverse

Faculty Advisor:  Dr. Fernando Gonzalez
Black Knight 2003 Design Paper
Black Knight 2004 Design Paper
Image Galleries

Team Black Knight 2003/2004
Name Project Section Class Standing
Tim Roberts Team Captain, Electrical Systems, Chassis, Funding Graduate, EE
Richard Andres Electrical Systems, Chassis Undergraduate, EE
Gary Stein Path Planning, DGPS, Chassis Undergraduate, EE & CS
Daniel Barber Vision System, World Map, Communication, Path Planning Undergraduate, CpE
Brian C. Becker Vision System Undergraduate, CpE
Victor Boyer Vision System Undergraduate, CET

Team Black Knight 2002/2003
Name Project Section Class Standing
Frank Goergen Team Captain, Coordination, Funding Undergraduate, CpE
Tim Roberts Electrical Systems, Chassis, Funding Graduate, EE
Richard Andres Electrical Systems, Chassis Undergraduate, EE
Gary Stein Artificial Intelligence, Path Planning Undergraduate, EE & CS
Matt Rhodes Chassis, Sensor Software Undergraduate, CpE
Josh Wilson Computer Vision Undergraduate, CS
David Diel Computer Vision Undergraduate, ME
Sarah Wong Microcontroller Software Undergraduate, CpE





ARL

UCF SGA

Parallax

Cadsoft

Prestige Machine & Tool

ARL