Machine learning and optimization applications for soft robotics

dc.authorscopusid57205217831
dc.authorscopusid57390638300
dc.contributor.authorIlman M.M.
dc.contributor.authorTaser P.Y.
dc.date.accessioned2024-03-09T19:40:01Z
dc.date.available2024-03-09T19:40:01Z
dc.date.issued2022
dc.departmentİzmir Bakırçay Üniversitesien_US
dc.description.abstractDue to their adaptability, flexibility, and deformability, soft robots have been widely studied in many areas. On the other hand, soft robots have some challenges in modeling, design, and control when compared to rigid robots, since the inherent features of soft materials may create complicated behaviors owing to non-linearity and hysteresis. To address these constraints, recent research has utilized different machine learning algorithms and meta-heuristic optimization techniques. First and foremost, the study looked at current breakthroughs and applications in the field of soft robots. Studies in the field are grouped under main headings such as modelling, design, and control. Fundamental issues and developed solutions were analyzed in this manner. Machine learning and meta-heuristic optimization-oriented methods created for various applications are highlighted in particular. At the same time, it is emphasized how the problems in each of the modeling, design, and control areas impact each other. © 2023, IGI Global.en_US
dc.identifier.doi10.4018/978-1-6684-5381-0.ch002
dc.identifier.endpage29en_US
dc.identifier.isbn9781668453834
dc.identifier.isbn9781668453810
dc.identifier.scopus2-s2.0-85161709896en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage13en_US
dc.identifier.urihttps://doi.org/10.4018/978-1-6684-5381-0.ch002
dc.identifier.urihttps://hdl.handle.net/20.500.14034/1628
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIGI Globalen_US
dc.relation.ispartofDesign and Control Advances in Roboticsen_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleMachine learning and optimization applications for soft roboticsen_US
dc.typeBook Chapteren_US

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