Practical Human-Robot Interaction

Professor in Charge: Prof. Dr. Andreas Butz
Lecturers: Xuedong Zhang, Jan Leusmann, Carl Oechsner
Hours per week: 4
Language: English
ECTS-Credits: 6
Module: Module Assignments

• Syllabus
• Recommended Prior Knowledge
• Dates and Locations
• Schedule
• Grading
• Registration

Syllabus

This course aims to teach students about current research areas of human-robot interaction (HRI) and the necessary knowledge to implement ideas in that field. After this course, students should have basic knowledge of path and motion planning, inverse kinematics, computer vision approaches for fundamental vision-based actions, and reinforcement learning. With these acquired skills, students should then be able to envision and implement new HRI ideas.

During the semester, students will learn about the abovementioned topics and consolidate the knowledge gained in small exercises. In a week-long session at the end of the semester, they will implement a novel HRI system in groups of 3-4 people on physical robots and present their findings in a final presentation session. The students will also learn the foundations of ROS during this course.

Recommended Prior Knowledge

• Human-Computer Interaction
• Machine Learning, e.g., Pratical Machine Learning, Intelligent User Interfaces, Practical Course Development of Media Systems: Reinforcement Learning

Dates and Locations

The first Lecture will be held on Tuesday 14.10.2025, 16:00-18:00 c.t., at Frauenlobstr. 7A, Room 357. The remaining sessions will be held at Frauenlobstr. 7A, Room 357.

Schedule

Attendance is compulsory on all dates.

Grading

The grade is based on a presentation and a written paper.

• The presentation must last 10-20 minutes.
• The paper must contain 20,000 - 30,000 characters using the LaTex template

Registration