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MAKER: A Kilobot Swarm

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Conference

2016 ASEE Annual Conference & Exposition

Location

New Orleans, Louisiana

Publication Date

June 26, 2016

Start Date

June 26, 2016

End Date

June 29, 2016

ISBN

978-0-692-68565-5

ISSN

2153-5965

Conference Session

Make It!

Tagged Division

Manufacturing

Page Count

39

DOI

10.18260/p.25597

Permanent URL

https://peer.asee.org/25597

Download Count

3517

Paper Authors

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Nathan Tyler Thomas Western Carolina University

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Yanjun Yan Western Carolina University Orcid 16x16 orcid.org/0000-0002-5152-6614

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Yanjun Yan received her B.S. and M.S. degrees in Electrical Engineering from Harbin Institute of Technology (China), and the M.S. degree in Applied Statistics and the Ph.D. degree in Electrical Engineering from Syracuse University. She is an assistant professor in engineering and technology at Western Carolina University. Her research interests are statistical signal processing, diagnostics, and particle swarm optimization.

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Hugh Jack Western Carolina University Orcid 16x16 orcid.org/0000-0003-4299-8561

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Dr. Jack is the Cass Ballenger Distinguished Professor of Engineering and Department Head of the School of Engineering and Technology within Western Carolina University. His interests include robotics, automation, and product design.

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Abstract

A Kilobot is a small inexpensive robot, designed by the Self-Organizing Systems Research Group at Harvard University, with features that enable researches to test collective algorithms on hundreds or thousands of robots (called a swarm) without logistical problems such as programming and power cycling consuming an unacceptable amount of time.1. This paper illustrates a tested procedure on how to construct a Kilobot Swarm and programming platform. These procedures were created from a combination of the original Kilobot documents made available by Harvard University2, other materials later released by Harvard3, as well as some additional insight and modifications.

Thomas, N. T., & Yan, Y., & Jack, H. (2016, June), MAKER: A Kilobot Swarm Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.25597

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