Rehabilitation and Assistive Robotics (RAR)5 ECTS
(englische Bezeichnung: Rehabilitation and Assistive Robotics)
(Prüfungsordnungsmodul: Rehabilitation and Assistive Robotics)

Lehrveranstaltungen:

• • Rehabilitation Robotics (L)
    (Vorlesung, 2 SWS, Claudio Castellini, Di, 16:15 - 17:45, K2-119)
  • 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:

1. 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)

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