2400063 – Motion in Human and Machine

This seminar offers a unique possibility to glance at research questions, methods, and results in three research labs in Baden-Württemberg. The guiding question for the seminar is: How are biological and technical movements generated and controlled? In the seminar, you will get insights into this interdisciplinary field. We will give an overview of topics such as recording and analysis of human movement, reduced biomechanical models, neuro-musculoskeletal models, humanoid robotics, control of complex human-like movements, and machine learning. The interaction of these approaches offers new possibilities and new research focus areas. We will discuss examples in industry (passenger safety in cars, tool design, ergonomics), in medical engineering (prosthetics, orthotics, rehabilitation robotics), human-robot interaction, and imitation learning. Participating in the seminar will allow you to visit the labs, listen to presentations of researchers at each institution, take part in a small research project in a field of your choice, and get in contact with students and researchers in this interdisciplinary field. Participation on the following dates is mandatory: Monday, 27th April 2026 Wednesday, 29th April 2026 Thursday, 30th April 2026 Friday, 10th July 2026

Allgemein

Sprache
Englisch

Lizenz und Nachnutzung

Lizenz
All rights reserved

Kontaktpersonen

Charlotte Marquardt

Adresse

Adenauerring 12
76131 Karlsruhe

Institution / Abteilung

Karlsruhe Institute of Technology (KIT) / Institute for Anthropomatics and Robotics (IAR)

Kontakt

E-Mail: charlotte.marquardt@kit.edu

[S_NadineShafikBadie]

[S_SynSchmitt]

Julia Hohensee

Kontakt

E-Mail: julia.hohensee@kit.edu

[TUE_d.haeufle]

[TUE_j.charajacasas]

Verfügbarkeit

Zugriff
20. Jan 2026, 00:00 - 1. Okt 2026, 00:00
Aufnahmeverfahren
Sie müssen einen Aufnahmeantrag stellen, um in den Kurs aufgenommen zu werden. Beschreiben Sie im Feld Nachricht, warum Sie beitreten möchten. Sobald Ihr Antrag angenommen oder abgelehnt wurde, erhalten Sie eine Benachrichtigung.
Zeitraum für Beitritte
Bis: 18. Apr 2026, 23:55
Mindestanzahl an Mitgliedern
6
Freie Plätze
0
Veranstaltungszeitraum
27. Apr 2026 - 31. Jul 2026

Für Kursadministration freigegebene Daten

Daten des Persönlichen Profils
Anmeldename
Vorname
Nachname
E-Mail
Matrikelnummer

Zusätzliche Informationen

Objekt-ID
3773574