The Cornell RoboCup Project was created to teach systems engineering concepts and practices to students to prepare them for designing, integrating, and maintaining highly complex systems. Another objective of the project is to explore the interplay between AI, dynamics, and control theory. This article describes the Cornell RoboCup team, which won the RoboCup-99 small-league championship in Stockholm, Sweden.

The global vision system runs at a speed of 35 hertz with a resolution of 320 240. The basic algorithm used is blob to students to prepare them for designing, analysis (Gonzalez and Woods 1992). To determine integrating, and maintaining highly complex the identity of each robot and its orientation, systems. Another objective of the project is to the robots have color patches on top as explore the interplay between AI, dynamics, well as the team color marker (blue or yellow and control theory. This article describes the Ping-Pong ball).