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151-0854-00L 5 Credits BSC , MSC D-ITET , D-MAVT , D-INFK , D-MATH

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Autonomous Mobile Robots

Lecturers & Examiners: Prof. Dr. Roland Siegwart, Dr. Margarita Chli, Dr. Nicholas Lawrance

VVZ CR 2.9

Last Updated: 2026-02-05 16:07:19

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, environment perception, and probabilistic environment modeling, localization, mapping and navigation. Theory will be deepened by exercises with small mobile robots and discussed across application examples.

Objective

Resources

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

Learning Materials (Links)

General Information

Language: English
Levels: BSC , MSC
Frequency: Yearly recurring

Examination

Type: session examination
Mode: written 120 minutes
Aids: 4 A4-pages personal summary

Course Components

Type	Title	Time & Place	Hours
lecture with exercise	Autonomous Mobile Robots Exercises take place fortnightly upon consultation on Tuesday at 14-16h.	Tue 10:15-12:00 (NO C 60) Tue 14:15-16:00 (HG F 1)	4 h weekly

Offered In

Mechanical Engineering Bachelor
- 6. Semester
  - Focus Specialization
    - Mechatronics and Robotics (Focus Coordinator: Prof. Marco Hutter)
Computational Science and Engineering Bachelor
- Fields of Specialization
  - Robotics
Computer Science Bachelor
- Minor Courses
Mechanical Engineering Master
- Core Courses
  - Robotics, Systems and Control (The courses listed in this category “Core Courses” are recommended. Alternative courses can be chosen in agreement with the tutor. .)
Computational Science and Engineering Master
- Fields of Specialization
  - Robotics
Electrical Engineering and Information Technology Master
- Master Studies (Programme Regulations 2018)
  - Systems and Control (The core courses and specialization courses below are a selection for students who wish to specialize in the area of "Systems and Control", see . The individual study plan is subject to the tutor's approval.)
    - Specialization Courses (These specialization courses are particularly recommended for the area of "Systems and Control", but you are free to choose courses from any other field in agreement with your tutor. A minimum of 40 credits must be obtained from specialization courses during the Master's Programme.)
- Master Studies (Programme Regulations 2008)
  - Major Courses (A total of 42 CP must be achieved form courses during the Master Program. The individual study plan is subject to the tutor's approval.)
    - Systems and Control
      - Recommended Subjects (These courses are recommended, but you are free to choose courses from any other special field. Please consult your tutor.)
Robotics, Systems and Control Master
- Core Courses