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Artificial Intelligence (Master of Science) >>

Human-centered mechatronics and robotics (HMR)5 ECTS
(englische Bezeichnung: Human-centered mechatronics and robotics)
(Prüfungsordnungsmodul: Human-centered mechatronics and robotics)

Modulverantwortliche/r: Philipp Beckerle
Lehrende: Philipp Beckerle


Start semester: SS 2022Duration: 1 semesterCycle: jährlich (SS)
Präsenzzeit: 60 Std.Eigenstudium: 90 Std.Language: Englisch

Lectures:


Empfohlene Voraussetzungen:

It is recommended to finish the following modules before starting this module:

Regelungstechnik A (Grundlagen) (WS 2021/2022)


Inhalt:

  • Human-oriented design methods
  • Biomechanics

    • Motions, measurement, and analysis

    • Biomechanical models

  • Elastic robotics

    • Elastic actuators

    • Control methods

  • Cognitive and physical human-robot interaction

  • Empirical research methods

    • Research process and experiment design

    • Research methods, interferences, and ethics

  • System integration and fault treatment

The exercise will combine simulation sessions and a flip-the-classroom seminar where student groups present recent research papers and discuss them with all attendees.

Lernziele und Kompetenzen:

On successful completion of this module, students will be able to:

  • Tackle the interdisciplinary challenges of human-centered robot design.

  • Use engineering methods for modeling, design, and control to develop human-centered robots.

  • Apply methods from psychology (perception, experience), biomechanics (motion and human models), and engineering (design methodology) and interpret their results.

  • Develop robotic systems that are provide user-oriented interaction characteristics in addition to efficient and reliable operation.

Literatur:

  • Ott, C. (2008). Cartesian impedance control of redundant and flexible-joint robots. Springer.
  • Whittle, M. W. (2014). Gait analysis: an introduction. Butterworth-Heinemann.

  • Burdet, E., Franklin, D. W., & Milner, T. E. (2013). Human robotics: neuromechanics and motor control. MIT press.

  • Gravetter, F. J., & Forzano, L. A. B. (2018). Research methods for the behavioral sciences. Cengage Learning.

  • Further topic-specific text books and selected research articles.


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 Elektrotechnik, Elektronik und Informationstechnik | Robotics and automation | Human-centered mechatronics and robotics)
Dieses Modul ist daneben auch in den Studienfächern "Computational Engineering (Master of Science)", "Computational Engineering (Rechnergestütztes Ingenieurwesen) (Master of Science)", "Elektrotechnik, Elektronik und Informationstechnik (Bachelor of Science)", "Elektrotechnik, Elektronik und Informationstechnik (Master of Science)", "Mechatronik (Bachelor of Science)", "Mechatronik (Master of Science)", "Medizintechnik (Bachelor of Science)", "Medizintechnik (Master of Science)", "Wirtschaftsingenieurwesen (Bachelor of Science)", "Wirtschaftsingenieurwesen (Master of Science)" verwendbar. Details

Studien-/Prüfungsleistungen:

Human-centered mechatronics and robotics (Prüfungsnummer: 23451)
Prüfungsleistung, Klausur, Dauer (in Minuten): 90, benotet, 5 ECTS
Anteil an der Berechnung der Modulnote: 100.0 %
Prüfungssprache: Englisch

Erstablegung: SS 2022, 1. Wdh.: WS 2022/2023
1. Prüfer: Philipp Beckerle
Termin: 05.08.2022
Termin: 05.08.2022

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