Motion Control for Biohybrid Multiscale Robots

dc.contributor.authorTabak, Ahmet Fatih
dc.date.accessioned2021-01-28T10:19:57Z
dc.date.available2021-01-28T10:19:57Z
dc.date.issued2020
dc.description.abstractComplex gaits of microswimmer robotic devices could be controlled via discretized reference signals and adaptive control scheme. A biomedical micro-robotic system offers a nontrivial control problem without tactile contact or tether. Moreover, such devices can incorporate live cells to achieve biocompatibility for therapeutic applications introducing additional complexity to the system dynamics and control effort. Additionally, a coupled hybrid system of a macroscale open kinematic chain and a self-propelling bacterium cell constitutes a multiscale hybrid system that can be used for medical applications of different sorts. In this study, the performance of a system of aforementioned qualities is investigated with an adaptive control strategy under in vitro conditions. Results demonstrate that the control method of choice offers a promising approach to the described scenario.en_US
dc.identifier.citation0
dc.identifier.doi10.1109/ASYU50717.2020.9259857en_US
dc.identifier.isbn9781728191362
dc.identifier.scopus2-s2.0-85097924380en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12469/3764
dc.identifier.urihttps://doi.org/10.1109/ASYU50717.2020.9259857
dc.institutionauthorTabak, Ahmet Fatihen_US
dc.institutionauthorTabak, Ahmet Fatih
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.journal2020 Innovations in Intelligent Systems and Applications Conferenceen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAdaptive controlen_US
dc.subjectBiohybrid roboticsen_US
dc.subjectBiomedical engineeringen_US
dc.subjectMicrosystemsen_US
dc.subjectNumerical simulationen_US
dc.titleMotion Control for Biohybrid Multiscale Robotsen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
relation.isAuthorOfPublication3d30911f-40a8-4afa-bc8c-216b9b699b9c
relation.isAuthorOfPublication.latestForDiscovery3d30911f-40a8-4afa-bc8c-216b9b699b9c

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