Navigation

26M051HRI - Human Robot Interaction

Course specification
Course title Human Robot Interaction
Acronym 26M051HRI
Study programme Electrical Engineering and Computing
Module Applied Mathematics, Audio and Video Technologies, Biomedical and Nuclear Engineering, Computer Engineering and Informatics, Electronics and Digital Systems, Energy Efficiency, Information and Communication Technologies, Microwave Engineering, Nanoelectronics and Photonics, Power Systems - Networks and Systems, Power Systems - Renewable Energy Sources, Power Systems - Substations and Power Equipment, Signals and Systems, Software Engineering
Type of study master academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
    ESPB 6.0 Status elective
    Condition
    The goal Introduction to the basic concepts, methods and technologies that enable human-robot interaction (Human-Robot Interaction – HRI). Understanding physical, cognitive and social interaction, as well as technical and ethical challenges in the design of HRI systems. Acquiring skills for the design, implementation and evaluation of interactive robotic systems in real environments.
    The outcome Understanding the basic principles of human-robot interaction. Familiarity with tools for analyzing and modeling human behavior and methods for adapting robot behavior in a human environment. Mastering algorithms for perception, planning, and control of robots in the presence of humans. Experience in designing and evaluating HRI systems from the perspective of safety and efficiency.
    Contents
    Contents of lectures Basic types and concepts in HRI. Algorithms for recognizing and modeling human behavior (inverse optimal control). Robot control methods in physical interaction (impedance and admittance control). Advanced machine learning techniques for controlling robots (supervised learning, stimulus learning, learning from demonstrations). Applications of HRI systems in industry, medicine and service tasks.
    Contents of exercises Exercises with collaborative robots (Franka Emika Panda, Neura Mira, Robotnik). Working with human perception sensors (video, depth cameras, microphones). Implementation and testing of HRI scenarios (hand tracking, collision avoidance, gesture communication). Design and implementation of an interactive interface for controlling the robot using the ROS infrastructure.
    Literature
    1. Christoph Bartneck, Tony Belpaeme, Friederike Eyssel, Takayuki Kanda, Merel Keijsers, Selma Šabanović, Human-Robot Interaction, 2020. (Original title)
    2. Paolo Barattini, Federico Vicentini, Gurvinder Singh Virk, Tamas Haidegger, Human-Robot Interaction: Safety, Standardization, and Benchmarking, 2019. (Original title)
    3. B. Sicilijano, Robotics Goes MOOC: Interaction, 2025. (Original title)
    Number of hours per week during the semester/trimester/year
    Lectures Exercises OTC Study and Research Other classes
    3 1 1
    Methods of teaching Lectures, exercises, project assignments.
    Knowledge score (maximum points 100)
    Pre obligations Points Final exam Points
    Activites during lectures Test paper 40
    Practical lessons Oral examination
    Projects 60
    Colloquia
    Seminars