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View all- Wu BWang A(2018)A guideline for game development-based learningInternational Journal of Computer Games Technology10.1155/2012/1037102012(8-8)Online publication date: 13-Dec-2018
Industrial robotic game playing: an AI course
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.
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Consortium for Computing Sciences in Colleges
Evansville, IN, United States
Publication History
Published: 01 January 2010
Published in JCSC Volume 25, Issue 3
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View all- Wu BWang A(2018)A guideline for game development-based learningInternational Journal of Computer Games Technology10.1155/2012/1037102012(8-8)Online publication date: 13-Dec-2018
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