Bradley Nelson: Catalogue data in Spring Semester 2019

Name Prof. Dr. Bradley Nelson
FieldRobotics and Intelligent Systems
Address
Robotik und Intelligente Systeme
ETH Zürich, CLA H 1.1
Tannenstrasse 3
8092 Zürich
SWITZERLAND
Telephone+41 44 632 55 29
E-mailbnelson@ethz.ch
URLhttp://www.iris.ethz.ch/msrl/people/brad_n.php
DepartmentMechanical and Process Engineering
RelationshipFull Professor

NumberTitleECTSHoursLecturers
151-0623-00LETH Zurich Distinguished Seminar in Robotics, Systems and Controls Information
Students for other Master's programmes in Department Mechanical and Process Engineering cannot use the credit in the category Core Courses
1 credit1SB. Nelson, M. Chli, R. Gassert, M. Hutter, W. Karlen, R. Riener, R. Siegwart
AbstractThis course consists of a series of seven lectures given by researchers who have distinguished themselves in the area of Robotics, Systems, and Controls.
Learning objectiveObtain an overview of various topics in Robotics, Systems, and Controls from leaders in the field. Please see http://www.msrl.ethz.ch/education/distinguished-seminar-in-robotics--systems---controls--151-0623-0.html for a list of upcoming lectures.
ContentThis course consists of a series of seven lectures given by researchers who have distinguished themselves in the area of Robotics, Systems, and Controls. MSc students in Robotics, Systems, and Controls are required to attend every lecture. Attendance will be monitored. If for some reason a student cannot attend one of the lectures, the student must select another ETH or University of Zurich seminar related to the field and submit a one page description of the seminar topic. Please see http://www.msrl.ethz.ch/education/distinguished-seminar-in-robotics--systems---controls--151-0623-0.html for a suggestion of other lectures.
Prerequisites / NoticeStudents are required to attend all seven lectures to obtain credit. If a student must miss a lecture then attendance at a related special lecture will be accepted that is reported in a one page summary of the attended lecture. No exceptions to this rule are allowed.
151-0641-00LIntroduction to Robotics and Mechatronics Information Restricted registration - show details
Number of participants limited to 60.

Enrollment is only valid through registration on the MSRL website (www.msrl.ethz.ch). Online registrations begin on the 1st of February 2019. Registrations per e-mail is no longer accepted!
4 credits2V + 2UB. Nelson, N. Shamsudhin
AbstractThe aim of this lecture is to expose students to the fundamentals of mechatronic and robotic systems. Over the course of these lectures, topics will include how to interface a computer with the real world, different types of sensors and their use, different types of actuators and their use.
Learning objectiveAn ever-increasing number of mechatronic systems are finding their way into our daily lives. Mechatronic systems synergistically combine computer science, electrical engineering, and mechanical engineering. Robotics systems can be viewed as a subset of mechatronics that focuses on sophisticated control of moving devices.

The aim of this course is to practically and theoretically expose students to the fundamentals of mechatronic and robotic systems. Over the course of the semester, the lecture topics will include an overview of robotics, an introduction to different types of sensors and their use, the programming of microcontrollers and interfacing these embedded computers with the real world, signal filtering and processing, an introduction to different types of actuators and their use, an overview of computer vision, and forward and inverse kinematics. Throughout the course, students will periodically attend laboratory sessions and implement lessons learned during lectures on real mechatronic systems. By the end of the course, you will be able to independently choose, design and integrate these different building blocks into a working mechatronic system.
ContentThe course consists of weekly lectures and lab sessions. The weekly topics are the following:
0. Course Introduction
1. C Programming
2. Sensors
3. Data Acquisition
4. Signal Processing
5. Digital Filtering
6. Actuators
7. Computer Vision and Kinematics
8. Modeling and Control
9. Review and Outlook

The lecture schedule can be found on our course page on the MSRL website (www.msrl.ethz.ch)
Prerequisites / NoticeThe students are expected to be familiar with C programming.