151-0854-00L  Autonomous Mobile Robots

Semester Spring Semester 2017
Lecturers R. Siegwart, M. Chli, M. Rufli
Periodicity yearly course
Language of instruction English



Catalogue data

Abstract The objective of this course is to provide the basics required to develop autonomous mobile robots and systems. Main emphasis is put on mobile robot locomotion and kinematics, envionmen perception, and probabilistic environment modeling, localizatoin, mapping and navigation. Theory will be deepened by exercises with small mobile robots and discussed accross application examples.
Objective The objective of this course is to provide the basics required to develop autonomous mobile robots and systems. Main emphasis is put on mobile robot locomotion and kinematics, envionmen perception, and probabilistic environment modeling, localizatoin, mapping and navigation.
Lecture notes This lecture is enhanced by around 30 small videos introducing the core topics, and multiple-choice questions for continuous self-evaluation. It is developed along the TORQUE (Tiny, Open-with-Restrictions courses focused on QUality and Effectiveness) concept, which is ETH's response to the popular MOOC (Massive Open Online Course) concept.
Literature This lecture is based on the Textbook:
Introduction to Autonomous Mobile Robots
Roland Siegwart, Illah Nourbakhsh, Davide Scaramuzza, The MIT Press, Second Edition 2011, ISBN: 978-0262015356

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits 5 credits
Examiners R. Siegwart, M. Chli, M. Rufli
Type session examination
Language of examination English
Course attendance confirmation required No
Repetition The performance assessment is only offered in the session after the course unit. Repetition only possible after re-enrolling.
Mode of examination written 120 minutes
Written aids 4 A4-pages personal summary
This information can be updated until the beginning of the semester; information on the examination timetable is binding.

Learning materials

 
Main link Additional material for this lecture
Additional links MOOC which goes with this lectures (video segment, quizzes, etc.)
Only public learning materials are listed.

Courses

Number Title Hours Lecturers
151-0854-00 G Autonomous Mobile Robots
Exercises take place fortnightly upon consultation on Tuesday at 14-16h.
4 hrs
Tue 10-12 NO C 60 »
14-16 CAB G 11 »
R. Siegwart, M. Chli, M. Rufli

Restrictions

There are no additional restrictions for the registration.

Offered in

Programme Section Type
Electrical Engineering and Information Technology Master Recommended Subjects W Information
Mechanical Engineering Master Robotics, Systems and Control W Information
Computational Science and Engineering Bachelor Robotics W Information
Computational Science and Engineering Master Robotics W Information
Robotics, Systems and Control Master Core Courses W Information