AUTHOR=Macias Nicholas J. , Teuscher Christof , Durbeck Lisa J. K. 

TITLE=Design of Introspective Circuits for Analysis of Cell-Level Dis-orientation in Self-Assembled Cellular Systems

JOURNAL=Frontiers in Robotics and AI

VOLUME=3

YEAR=2016

URL=https://www.frontiersin.org/journals/robotics-and-ai/articles/10.3389/frobt.2016.00002

DOI=10.3389/frobt.2016.00002

ISSN=2296-9144

ABSTRACT=<p>This paper discusses a novel approach to managing complexity in a large self-assembled system, by utilizing the self-assembling components themselves to address the complexity. A particular challenge is discussed – namely the question of how to deal with elements that are assembled in different orientations from each other – and a solution based on the idea of <italic>introspective circuitry</italic> is described. A methodology for using a set of cells to determine a nearby cell’s orientation is given, leading to a slow (<italic>O</italic>(<italic>n</italic>)) means of orienting a 2D region of cells. A modified algorithm is then describe to allow parallel analysis of/adaption to dis-oriented cells, thus allowing re-orientation of an entire 2D region of cells with better-than-linear time performance (<italic>O</italic>(<italic>sqrt</italic>(<italic>n</italic>))). The significance of this work is discussed not only in terms of managing arrays of dis-oriented cells but also more importantly as an example of the usefulness of local, distributed self-configuration to create and use introspective circuitry.</p>