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

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dc.contributor.authorMacias, Nicholas J.en
dc.contributor.authorTeuscher, Christofen
dc.contributor.authorDurbeck, Lisa J. K.en
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2019-11-01T19:24:41Zen
dc.date.available2019-11-01T19:24:41Zen
dc.date.issued2016-02-03en
dc.description.abstractThis 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 introspective circuitry is described. A methodology for using a set of cells to determine a nearby cell's orientation is given, leading to a slow (0(n)) 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 (0(sort(n))). 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.en
dc.description.notesThis work was supported by the Cross-Disciplinary Semiconductor Research (CSR) Program award G15173 from the Semiconductor Research Corporation (SRC).en
dc.description.sponsorshipCross-Disciplinary Semiconductor Research (CSR) Program award from Semiconductor Research Corporation (SRC) [G15173]en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.3389/frobt.2016.00002en
dc.identifier.issn2296-9144en
dc.identifier.otherUNSP 2en
dc.identifier.urihttp://hdl.handle.net/10919/95233en
dc.identifier.volume3en
dc.language.isoenen
dc.publisherFrontiersen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectself-assemblyen
dc.subjectautonomyen
dc.subjectself-modificationen
dc.subjectintrospectionen
dc.subjectadaptionen
dc.titleDesign of Introspective Circuits for Analysis of Cell-Level Dis-orientation in Self-Assembled Cellular Systemsen
dc.title.serialFrontiers in Robotics and AIen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen

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