2400159 – HRI and Social Robotics

The lectures cover all foundational topics in HRI (design principles and methodologies, human factors influencing HRI, sensors, actuators and software architecture for social robotics), challenges and solutions for key abilities of social robots (spatial interaction, engagement detection, non-verbal interaction, verbal interaction, emotion generation and detection), research methods (study design principles, statistical tools for analyses) and state-of-the-art topics including social learning, theory of mind and ethical considerations in HRI.

In the exercise sessions and related assignments students can experience how the theoretical concepts seen in the lectures can be applied in practice and learn how to collect stakeholders’ feedback for a robot design, program the robot’s social behaviour along multiple modalities, extract relevant user information from available sensors, design and analyse HRI experiments.

At the end of the course, the students have a solid understanding of HRI, its principles, challenges and solutions and can autonomously apply such knowledge in practical contexts.

Master students in computer science, engineering, and related disciplines

Prof. Dr. Barbara Bruno, Romain Maure, Victoria Yang, Dr.-Ing. Caterina Neef, Gabriele Serafino, Katharina Biernacka

Master

22. Apr 2026

29. Jul 2026

Vorlesung/Übung

50.34 Room -102 (UG)

Lecture: 14.00-15.30, Exercise 15.45-17.15

wöchtl.

Deutsch

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Prof. Dr. Barbara Bruno

barbara.bruno@kit.edu

Office hours are Mondays 16.30 - 17.30 in InformatiKOM I, R514 (lecture) and R503 (exercise)

13. Apr 2026, 18:13 - 13. Aug 2026, 18:13

Sie können diesem Kurs direkt beitreten.

Bis: 29. Jul 2026, 18:14

22. Apr 2026 - 29. Jul 2026

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3847463