The course unit can only be taken once. Repeated enrollment in a later semester is not creditable.
Courses
Number
Title
Hours
Lecturers
227-0085-24 P
P&S: RoboCup: Learning and Control
Für den Zugang zum Angebot und zur Einschreibung loggen Sie sich hier ein (mit Ihrem n.ETHZ account): https://psapp.ee.ethz.ch/ Bitte beachten Sie, dass die Seite jeweils erst zwei Wochen vor Semesterbeginn zugänglich ist und im Verlauf des Semesters wieder abgeschaltet wird. Die Einschreibung ist nur von Freitag vor Semesterbeginn bis zum ersten Freitagmittag im Semester möglich.
To access the offer and to enroll for courses log in (with your n.ethz account): https://psapp.ee.ethz.ch/ Please note that the P&S-site is accessible no earlier than two weeks before the start of the semester until four weeks after the start of the semester. Enrollment is only possible from Friday before the start of the semester until noon of the first Friday in the semester.
The category of "Laboratory Courses, Projects, Seminars" includes courses and laboratories in various formats designed to impart practical knowledge and skills. Moreover, these classes encourage independent experimentation and design, allow for explorative learning and teach the methodology of project work.
Learning objective
"RoboCup: Learning and Control" is jointly offered by Prof. John Lygeros (IfA), Prof. Luc Van Gool (CVL) and Prof. Fisher Yu (CVL).
RoboCup is a tournament where teams of autonomous robots compete in soccer matches against each other. The ETH team NomadZ (https://robocup.ethz.ch/) plays in the Standard Platform League with a team of humanoid NAO robots. The focus lies on developing robust and efficient algorithms for vision, control and behavior.
The main objective of this course is for students to become familiar with theoretical aspects currently in the spotlight of RoboCup. This is accomplished by a combination of theory sessions, related student exercise sets and programming projects in MATLAB, Python, and C++. The topics cover fundamental topics on data-driven learning and control.
Prerequisites / Notice
Important information for candidates:
You are required to bring your own Laptop for the programming exercises. A basic knowledge of programming in MATLAB, Python, and C++ is required.
The course is taught in English and is open to 5th or higher-semester students. Prior exposure to control theory (e.g., by attending a Control Systems course) is desirable but not required. Students who are not familiar with control theory will need some extra study to understand some aspects of this P&S course.
Competencies
Subject-specific Competencies
Concepts and Theories
assessed
Techniques and Technologies
assessed
Performance assessment
Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
: Special students and auditors need a special permission from the lecturers