Practical Human-Robot Interaction

Professor in Charge: Prof. Sven Mayer
Lecturers: Jan Leusmann, Carl Oechsner, Xuedong Zhang
Hours per week: 4
Language: English
ECTS-Credits: 6
Modul: Vertiefende Themen: P 1, P 2, WP 9, WP 12, WP 15, WP 26, WP 27 (MA INF PStO 2022); P 1, P 3, P 5, WP 3, WP 9 (MA MI PStO 2022); P 6, P 9, WP 3, WP 6 (MA MCI PStO 2022); WP 48, WP 51, WP 52 (BA INF PStO 2022); WP 26, WP 29, WP 30 (BA MI PStO 2022)

• Syllabus
• Recommended Prior Knowledge
• 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. The students will also learn the foundations of ROS during this course. 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.

Recommended Prior Knowledge

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

Schedule

Mondays, 16:00-18:00 c.t., bi-weekly
Frauenlobstr. 7a, 3rd floor, Room 357

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

Interested students can apply for this practical course via the central registration process. Details on this will be published via institute's communication channels. Signing up for this course directly is not possible.