151-0854-00L  Autonomous Mobile Robots

SemesterSpring Semester 2020
LecturersR. Siegwart, M. Chli, N. Lawrance
Periodicityyearly recurring course
Language of instructionEnglish



Courses

NumberTitleHoursLecturers
151-0854-00 GAutonomous Mobile Robots
Exercises take place fortnightly upon consultation on Tuesday at 14-16h.
4 hrs
Tue10:15-12:00NO C 60 »
14:15-16:00HG F 1 »
R. Siegwart, M. Chli, N. Lawrance

Catalogue data

AbstractThe 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, environment perception, and probabilistic environment modeling, localizatoin, mapping and navigation. Theory will be deepened by exercises with small mobile robots and discussed accross application examples.
Learning objectiveThe 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, environment perception, and probabilistic environment modeling, localizatoin, mapping and navigation.
Lecture notesThis 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.
LiteratureThis 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 credits5 credits
ExaminersR. Siegwart, M. Chli, N. Lawrance
Typesession examination
Language of examinationEnglish
RepetitionThe performance assessment is only offered in the session after the course unit. Repetition only possible after re-enrolling.
Mode of examinationwritten 120 minutes
Written aids4 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 linkMOOC (video segment, quizzes) and additional material for this lecture
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

There are no additional restrictions for the registration.

Offered in

ProgrammeSectionType
Electrical Engineering and Information Technology MasterRecommended SubjectsWInformation
Electrical Engineering and Information Technology MasterSpecialization CoursesWInformation
Computer Science BachelorMinor CoursesWInformation
Mechanical Engineering MasterRobotics, Systems and ControlWInformation
Computational Science and Engineering BachelorRoboticsWInformation
Computational Science and Engineering MasterRoboticsWInformation
Robotics, Systems and Control MasterCore CoursesWInformation