RoboMagellan

Much like the DARPA Grand Challenge, robots are programmed to make their way through an outdoor course going to various GPS centered orange cones as waypoints. The robots must avoid obstacles, and the start and end points are never line-of-site. Scoring is based on both speed and accuracy.

The Robomagellan competition is probably one of the most involved and difficult competitions at Robogames. We build an RC-scale robot that can autonomously navigate and drive without any input from an operator. It must avoid static and dynamic obstacles such as trees and people to arrive safely at the destination. Design and construction requires an enormous breadth of multiple engineering disciplines. Everything from computer science, computer engineering, mechanical engineering, electrical engineering is combined to incorporate data acquisition and analysis, autonomous vehicle perception, environment modeling, sensor fusion, path planning, software development and so much more. It’s almost as though there is not a single fiend of engineering this project does not touch on. This system based on ROS (Robotic Operating System) and utilities common sensors such as GPS, LIDAR, USRF and machine vision for  environment perception.