Practical Human-Robot Interaction
Professor in Charge: Prof. Sven Mayer
Lecturers: Jan Leusmann, Svenja Schött, and Carl Oechsner
Hours per week: 4
Language: German/English
ECTS-Credits: 6
Modul: Master P5.0.2 oder P5.0.4: Gruppenpraktikum zu fortgeschrittenen Themen der Informatik I oder Informatik II
After consultation with the examination board, credit for P2, P3 or P6 (advanced topics for Master) also possible
News
- 19.10.2022: The introductory lecture was pushed back one hour.
- 20.06.2022: This page is still under development, all content may be subject to change.
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.
Application
Interested students can apply for this practical course via Uni2Work. The applications have to include the information as stated in Uni2Work.
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
All dates are mandatory attendance.
| Date | Time | Topic | |
|---|---|---|---|
| 24.10.22 | 15:00-17:00 | Lecture 1: Introduction & Project Brainstorming | |
| 14.11.22 | 14:00-16:00 | Lecture 2: 90-sec Paper Presentation & Introduction Robots and ROS | |
| 28.11.22 | 14:00-16:00 | Lecture 3: Introduction to Robotics | |
| 01.12.22 | 12:00-14:00 | Lecture IUI: Introduction to Human-Robot Interaction I | |
| 08.12.22 | 12:00-14:00 | Lecture IUI: Introduction to Human-Robot Interaction II by Dr.-Ing. Alexander Dietrich | |
| 12.12.22 | 14:00-16:00 | Lecture 4: Project Ideation & Group Formation | |
| 23.01.23 | 16:00-18:00 | Lecture 6: Project Presentation & Vision-Based Actions | |
| 30.01.23 | 16:00-18:00 | Lecture 7: Reinforcement Learning & Human-like Motion Profiles | |
| 27.02.23 | 09:00-17:00 | Work on the projects | |
| 28.02.23 | 09:00-17:00 | Work on the projects | |
| 01.03.23 | 09:00-17:00 | Work on the projects | |
| 02.03.23 | 09:00-17:00 | Work on the projects | |
| 03.03.23 | 09:00-12:00 | Work on the projects | |
| 03.03.23 | 12:00-17:00 | Final presentations |
Location
Location: Thalkirchner Straße 36, 357 (enter building at Frauenlobstraße 7A)
