We are looking for curious and motivated master’s students to join a theoretical project focused on the role of microexpressions in humanoid robotics. This literature-based thesis explores the intersection of facial expression science, physiology, and human-robot interaction, contributing to the growing field of socially intelligent robotics.

Project Overview:

This master’s thesis aims to conduct a systematic literature review on the study and replication of microexpressions in humanoid robots. The work will explore:

  • The physiological basis of microexpressions in humans

  • The current technologies and frameworks used to reproduce them in robotic faces

  • Their importance in human-human and human-robot interaction

This thesis sets the groundwork for future developments in emotionally expressive robots by identifying gaps, challenges, and design considerations in the field.

Key Responsibilities:

  • Conduct a structured review of scientific literature (interdisciplinary: robotics, physiology, HRI, affective computing)

  • Analyze and categorize existing approaches to replicating microexpressions in robots

  • Identify open research questions and propose a conceptual framework for future development

Who We’re Looking For:

  • Strong interest in social robotics, human expression, or humanoid robots

  • Experience with literature research and scientific writing

  • Background in robotics, biomedical engineering, HRI, or a related field

  • Independent, structured, and critical thinker

  • Fluency in English

How to Apply:

If you are excited about the potential of humanoid robotics and want to contribute to an innovative project, we invite you to apply exclusively via email, including your CV and complete transcript of records (GPA min 2.5). Subject: Application – Microexpressions Thesis

Kategorien:

Forschungsbereich:

Robotik

Art der Arbeit:

Masterarbeit

Studiengang:

Maschinenbau, Mechatronik, Medizintechnik

Technologiefeld:

Medizintechnik

Kontakt:

Gabriela García, M.Sc.

Department Maschinenbau (MB)
Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik (FAPS, Prof. Franke)