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LEGO robots and AI

Published:27 June 2005Publication History

ABSTRACT

This tutorial will present how instructors can incorporate LEGO robots into their AI course with minimal time, effort, and resource commitment. The tutorial will: 1) cover the principles behind using robots for knowledge-based, open-laboratory projects; 2) share the design and details of several projects; 3) work the participants through sample solutions to a few of the projects, preferably hands-on; and finally, 4) discuss alternatives to LEGO and knowledge-based projects in AI. Participants will be able to apply the tutorial materials immediately to their AI course.

References

  1. Kumar, A. "Using Robots in the Undergraduate Artificial Intelligence Course: An Experience Report", Proceedings of FIE 2001, 2001, Session T4D. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Kumar, A. "Three Years of Using Robots in the Artificial Intelligence Course - Lessons Learned." Journal of Educational Resources in Computing (JERIC) Special issue on Robotics in Education (to appear). Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. LEGO robots and AI

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    • Published in

      cover image ACM Conferences
      ITiCSE '05: Proceedings of the 10th annual SIGCSE conference on Innovation and technology in computer science education
      June 2005
      440 pages
      ISBN:1595930248
      DOI:10.1145/1067445

      Copyright © 2005 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 27 June 2005

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      Overall Acceptance Rate552of1,613submissions,34%

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