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A Versatile Approach for Teaching Autonomous Robot Control to Multi-Disciplinary Undergraduate and Graduate Students

Aidan F. Browne, James Conrad

Year
2017
Citations
17

Abstract

Learning autonomous vehicle programming can be very challenging for students, especially when combined with robotic vehicle design and construction. This paper presents a methodology successfully used over the past six years to teach autonomy using a versatile platform built upon a commercially available product. A number of courses have been taught using the methodology at both the undergraduate and graduate levels. Students' ability to successfully learn and produce a solution to an autonomous robot control challenge has shown to be very effective.

Keywords

Computer scienceRobotAutonomyDisciplineControl (management)Graduate studentsAutonomous learningProduct (mathematics)Engineering managementHuman–computer interaction

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