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Linbots: Soft Modular Robots Utilizing Voice Coils
Author(s) -
Ross M. McKenzie,
Mohammed E. Sayed,
Markus P. Nemitz,
Brian Flynn,
Adam A. Stokes
Publication year - 2018
Publication title -
soft robotics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.998
H-Index - 40
eISSN - 2169-5180
pISSN - 2169-5172
DOI - 10.1089/soro.2018.0058
Subject(s) - robot , computer science , scalability , modular design , sorting , human–computer interaction , simple (philosophy) , distributed computing , artificial intelligence , philosophy , epistemology , database , programming language , operating system
Robots performing automated tasks in uncontrolled environments need to adapt to environmental changes. Through building large collectives of robots, this robust and adaptive behavior can emerge from simple individual rules. These collectives can also be reconfigured, allowing for adaption to new tasks. Larger collectives are more robust and more capable, but the size of existing collectives is limited by the cost of individual units. In this article, we present a soft, modular robot that we have explicitly designed for manufacturability: Linbots. Linbots use multifunctional voice coils to actuate linearly, to produce audio output, and to sense touch. When used in collectives, the Linbots can communicate with neighboring Linbots allowing for isolated behavior as well as the propagation of information throughout a collective. We demonstrate that these collectives of Linbots can perform complex tasks in a scalable distributed manner, and we show transport of objects by collective peristalsis and sorting of objects by a two-dimensional array of Linbots.

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