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Rehabilitation and Assistive Robotics (RAR)5 ECTS (englische Bezeichnung: Rehabilitation and Assistive Robotics)
Modulverantwortliche/r: Claudio Castellini Lehrende:
Claudio Castellini, Marek Sierotowicz
Studienfächer/Prüfungsordnungsmodule:
Einfrieren der UnivIS-Modul-Beschreibung: 18.4.2022
Rehabilitation and Assistive Robotics (148971)
Startsemester: |
SS 2022 | Dauer: |
1 Semester | Turnus: |
jährlich (SS) |
Präsenzzeit: |
60 Std. | Eigenstudium: |
90 Std. | Sprache: |
Englisch |
Lehrveranstaltungen:
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Rehabilitation Robotics (L)
(Vorlesung, 2 SWS, Claudio Castellini, Di, 16:15 - 17:45, K2-119)
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Rehabilitation Robotics (E)
(Übung, 2 SWS, Marek Sierotowicz, Fr, 08:15 - 09:45, K2-119)
Empfohlene Voraussetzungen:
Recommended: basic maths, especially statistics; fundamentals of signal processing and machine learning; mid-level programming (Python, C# or similar); fundamentals of experimental psychology
Inhalt:
- Introduction to Rehabilitation and Assistive Robotics: motivation, taxonomy, historical background
Prosthetics: upper- and lower limb prosthetics; clinical, mechatronics and societal challenges; machine learning and intent detection applied to prosthetics; signals and sensors.
Exoskeletons and exo-suits: realms of application, mechatronic and ergonomic challenges; intent detection and feedback; clinical acceptance, feasibility and effectiveness.
Lernziele und Kompetenzen:
Students who have followed the module
have a broad understanding of Rehabilitation and Assistive Robotics, the motivations, problems and challenges
can conceive and design a research project in the related subfield of the subject
have knowledge about the clinical and industrial situation in RAR
can tackle previously unknown problems
Literatur:
- [2002] Control of Multifunctional Prosthetic Hands by Processing the Electromyographic Signal, M. Zecca, S. Micera, M. C. Carrozza and P. Dario.
[2010] Control of Hand Prostheses Using Peripheral Information, S. Micera, J. Carpaneto and S. Raspopović.
[2012] Control of Upper Limb Prostheses: Terminology and Proportional Myoelectric Control—A Review, A. Fougner, Ø. Stavdahl, P. J. Kyberd, Y. G. Losier and P. A. Parker.
[2015] Michael R Tucker et al., Control strategies for active lower extremity prosthetics and orthotics: a review, JNER 12:1
[2018] JA Spanias, AM Simon, SB Finucane, EJ Perreault and LJ Hargrove, Online adaptive neural control of a robotic lower limb prosthesis, J Neural Eng. 15(1)
[2020] Jacob Rosen and Peter Walker Ferguson (eds.), Wearable Robotics - Systems and Applications, Academic Press Elsevier
[2021] Michele Xiloyannis, Ryan Alicea, Anna-Maria Georgarakis, Florian L. Haufe, Peter Wolf, Lorenzo Masia and Robert Riener, Soft robotic suits: State of the art, core technologies and open challenges, IEEE Transactions on Robotics
Verwendbarkeit des Moduls / Einpassung in den Musterstudienplan: Das Modul ist im Kontext der folgenden Studienfächer/Vertiefungsrichtungen verwendbar:
- Artificial Intelligence (Master of Science)
(Po-Vers. 2021s | TechFak | Artificial Intelligence (Master of Science) | Gesamtkonto | Nebenfach | Nebenfach Artificial Intelligence in Biomedical Engineering | Rehabilitation and Assistive Robotics)
Studien-/Prüfungsleistungen:
Rehabilitation and Assistive Robotics (Prüfungsnummer: 76171)
(englischer Titel: Introduction to Rehabilitation and Assistive Robotics)
zugeh. "mein campus"-Prüfung: | - 76171 Rehabilitation and Assistive Robotics (Gewichtung: 100.0 %, Prüfung, Form: variabel, Drittelnoten (mit 4,3), Dauer: -, 5 ECTS, Prüfung).
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- Prüfungsleistung, Klausur, Dauer (in Minuten): 60, benotet, 5 ECTS
- Anteil an der Berechnung der Modulnote: 100.0 %
- Prüfungssprache: Englisch
- Erstablegung: SS 2022, 1. Wdh.: WS 2022/2023
1. Prüfer: | Claudio Castellini (100990) |
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