Practical Course Development of Media Systems: Human-Robot Interaction
Professor in Charge: Prof. Sven Mayer
Lecturers: Jan Leusmann, Carl Oechsner Steeven Villa,
Hours per week: 4
Language: German/English
ECTS-Credits: 6
Modul: Master P3 / P 5: Gruppenpraktikum zu fortgeschrittenen Themen der Informatik I oder Informatik II
After consultation with the examination board, credit for WP 1-3, WP 7,9, WP 19 (advanced topics for Master) also possible
News
- 20.10.2023 Due to an internal error the course will not take place on Thursdays as originally planned, but on Tuesdays. The time stays the same.
- 13.10.2023 In case you have not been assigned a spot for a practical yet, please write an email to Jan Leusmann until the 18.10.2023.
Dates and Locations
The first Lecture will be held on 26.10.2023 Tuesday 24.10.2023, 16:00-18:00 s.t., at Frauenlobstr. 7A, Room 357.
Contents
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
Schedule
Attendance is compulsory on all dates.
Date | Time | Topic |
---|---|---|
24.10.23 | 16:00-18:00 | Lecture 1: Introduction & Project Brainstorming |
07.11.23 | 16:00-18:00 | Lecture 2: 90-sec Paper Presentation & Introduction Robots and ROS |
21.11.23 | 16:00-18:00 | Lecture 3: Project Ideation & Group Formation |
05.12.23 | 16:00-18:00 | Lecture 4: Project Presentation & Introduction to Robotics |
19.12.23 | 16:00-18:00 | Lecture 5: Project Update & Path Planning, MyCobot Application |
16.01.24 | 16:00-18:00 | Lecture 6: Project Update & Intro to Machine Learning |
30.01.24 | 16:00-18:00 | Lecture 7: Project Planning &MyCobot Setup |
04.03.24 | 09:00-17:00 | Work on the projects |
05.03.24 | 09:00-17:00 | Work on the projects |
06.03.24 | 09:00-17:00 | Work on the projects |
07.03.24 | 09:00-17:00 | Work on the projects |
08.03.24 | 09:00-17:00 | Work on the projects |
11.03.24 | 13:00-15:00 | Final Presentations |