Industrial robotic game playing: an AI course

  • Authors:
  • Sebastian van Delden

  • Affiliations:
  • University of South Carolina Upstate, Spartanburg, SC

  • Venue:
  • Journal of Computing Sciences in Colleges
  • Year:
  • 2010

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Abstract

A unique approach to teaching a general purpose Artificial Intelligence (AI) course is presented in this paper. The course provides an active learning environment which strengthens traditional AI concepts through a semester long industrial robotic game playing project. It requires an industrial robotics laboratory that includes robotic arms which are available for students to use. Several foundational topics related to AI are implemented by the students on an actual robotic arm, including basic robotic coordinate systems and transformations, game playing algorithms, image segmentation, and feed forward neural networks.