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RoSCAR

Kyle Hart, Corey Montella, Georges Petitpas, Dylan Schweisinger, Armon Shariati, Ben Sourbeer, Tyler Trephan, John Spletzer

Year
2014
Citations
3

Abstract

In this paper, we present the development of a low-cost, high-performance mobile robot platform for educational and research use called RoSCAR. The platform is based on a 1/10-scale short track race car, integrated with an on-board desktop-class computer, odometry, and RGB-D sensing. As part of an experimental robotics course, three student teams used RoSCAR to compete in a race around a 200 m indoor track. Students demonstrated reliable lane tracking and attained average lap speeds of up to 5.7 m/s (equivalent to 202 km/h at full scale). We are currently investigating the viability of a regional robotics competition centered around this concept.

Keywords

RoboticsMobile robotArtificial intelligenceTrack (disk drive)OdometryComputer scienceRobotClass (philosophy)Computer visionScale (ratio)

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