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Developing a Robotics Education Platform using Android Based Cellbots (Abstract Only)

Published:24 February 2015Publication History

ABSTRACT

Robotics education is one of the most important subjects now and for the foreseeable future. Our project focuses on designing a robotics education platform, which includes extensive libraries of code that allows any student from high school to college level to study robotics. We also have significantly addressed two of the major problems in robotics, usability and affordability. Using a Cellbot, a robot that uses an Arduino microcontroller and an Android smartphone, enables us to quickly and affordably add new sensors or features to the entire robotics system. By combining a Cellbot with the advance software we developed, we have designed a system, which is easy to learn and allows the robot to perform numerous high performance tasks. As students advance in their programming abilities more complex algorithms and sensors can be easily added to the system. Effectively making the robot "grow" with the students.

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  1. Developing a Robotics Education Platform using Android Based Cellbots (Abstract Only)

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    • Published in

      cover image ACM Conferences
      SIGCSE '15: Proceedings of the 46th ACM Technical Symposium on Computer Science Education
      February 2015
      766 pages
      ISBN:9781450329668
      DOI:10.1145/2676723

      Copyright © 2015 Owner/Author

      Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 24 February 2015

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      Acceptance Rates

      SIGCSE '15 Paper Acceptance Rate105of289submissions,36%Overall Acceptance Rate1,595of4,542submissions,35%

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