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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01m326m502c
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dc.contributor.advisorNosenchuck, Daniel-
dc.contributor.authorAngolio, Yujin-
dc.contributor.authorHamza, Mohamed-
dc.contributor.authorSoto Cuevas, Karla-
dc.date.accessioned2023-08-02T16:14:56Z-
dc.date.available2023-08-02T16:14:56Z-
dc.date.created2023-05-03-
dc.date.issued2023-08-02-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/dsp01m326m502c-
dc.description.abstractFencing requires sharp accuracy, and that comes with training. Maximizing training is every fencers’ goal as it not only adds to their effectiveness but also gives them a greater edge over their opponents. Presenting ‘Moyuka’, the fencing target practice assistant– training on accuracy has never been more sophisticated. The dynamic realism of having a robotic fencing arm defend a target, increases the quality of accuracy practice that fencing athletes can now get out of target training sessions. This robotic arm and target setup, specialized for foil fencers, allows for the user to train their hitting technique while having an actual defender as opposed to the usual setup of merely having only a static target on the wall. With Moyuka’s arm engaging the user, fencers can now train to attack against certain types of defensive actions, giving them the opportunity to build the right type of muscle memory that is applicable to competition matches. In addition to various defensive movements, the arm is double sided, meaning the user can practice against both left and right handed settings. This gives the fencer the chance to perfect their techniques for all potential opponents. Lightweight, simple, and durable, Moyuka is primed to help any fencer enhance their target hitting skills, test their attacking abilities and improve their technique at any time without the need for a sparring partner or coach.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoenen_US
dc.titleMoyuka: Fencing Target Practice Assistanten_US
dc.typePrinceton University Senior Theses
pu.date.classyear2023en_US
pu.departmentMechanical and Aerospace Engineeringen_US
pu.pdf.coverpageSeniorThesisCoverPage
pu.contributor.authorid920226894
pu.certificateRobotics & Intelligent Systems Programen_US
pu.mudd.walkinNoen_US
Appears in Collections:Mechanical and Aerospace Engineering, 1924-2024

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