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http://hdl.handle.net/2307/5967| Campo DC | Valore | Lingua |
|---|---|---|
| dc.contributor.advisor | Panzieri, Stefano | - |
| dc.contributor.author | Franchi, Giulia | - |
| dc.date.accessioned | 2018-07-10T16:23:42Z | - |
| dc.date.available | 2018-07-10T16:23:42Z | - |
| dc.date.issued | 2016-06-20 | - |
| dc.identifier.uri | http://hdl.handle.net/2307/5967 | - |
| dc.description.abstract | Building robotic devices able to replicate the human behavior to obtain motor recovery, functional substitution or human-robot interaction as human-like as possible, is becoming increasingly popular. In the last past years several robotic rehabilitation devices demonstrate how they can improve the performance of the rehabilitation therapy performed by a human therapist in terms of action repetition and accurate tracking of the desired trajectory. A proliferation of robotic devices for gait rehabilitation applications have been manufactured. Most of them may be intimidating to patients, others may require long and involved patient setups. Using a human-like robotic device, such as a robotic arm and a robotic hand, may be fruitful. Starting with the use of a multipurpose robotic arm to be attach to the human leg to automate gait training and relieve the physical burdens placed upon therapists, we design a mechanism able to attach the robot arm to a human limb, in a fast and safety way. Afters studying grasping in industrial robot we developed a new robotic hand to be used with the robotic rehabilitation device: the Easyhand, a small. light, easy to build and to control robotic hand to be adapt to use with the multipurpose robotic arm to be attached to the human leg. This dissertation present a the design of a new robotic hand for optimal grasping in rehabilitation field. | it_IT |
| dc.language.iso | en | it_IT |
| dc.publisher | Università degli studi Roma Tre | it_IT |
| dc.subject | Robotic | it_IT |
| dc.subject | Grasping | it_IT |
| dc.subject | Rehabilitation | it_IT |
| dc.title | Design of a robotic rehabilitation hand for optimal grasping | it_IT |
| dc.type | Doctoral Thesis | it_IT |
| dc.subject.miur | Settori Disciplinari MIUR::Ingegneria industriale e dell'informazione::AUTOMATICA | it_IT |
| dc.subject.isicrui | Categorie ISI-CRUI::Ingegneria industriale e dell'informazione::AI, Robotics & Automatic Control | it_IT |
| dc.subject.anagraferoma3 | Ingegneria industriale e dell'informazione | it_IT |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess | - |
| dc.description.romatrecurrent | Dipartimento di Ingegneria | * |
| item.languageiso639-1 | other | - |
| item.fulltext | With Fulltext | - |
| item.grantfulltext | restricted | - |
| È visualizzato nelle collezioni: | X_Dipartimento di Ingegneria T - Tesi di dottorato | |
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| File | Descrizione | Dimensioni | Formato | |
|---|---|---|---|---|
| GF_PhDThesis.pdf | 7.22 MB | Adobe PDF | Visualizza/apri |
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