Credits: 5

Schedule: 26.02.2019 - 03.04.2019

Teaching Period (valid 01.08.2018-31.07.2020): 

IV (spring) 2018-2019
IV (spring) 2019-2020

Learning Outcomes (valid 01.08.2018-31.07.2020): 

The student understands and can explain main concepts related to Autonomous Intelligent mobile robots and vehicles. The student can implement algorithms for different functions of mobile robots.

Content (valid 01.08.2018-31.07.2020): 

The locomotion and kinematics of mobile robots and intelligent vehicles. Machine perception and sensors for mobile robots; representing uncertainty, wheel/motor/heading sensors, inertial measurement unit (IMU), beacons, active ranging and machine vision for outdoor use. Mobile robot localization and Mapping, probabilistic and other map representations, different approaches for SLAM. Path and trajectory planning and navigation, reactive control, obstacle avoidance and safety. Motion Control; trajectory and path following, NMPC. Intelligent autonomous heavy duty work machines and vehicles. Fleet control. Autonomous cars.

Assessment Methods and Criteria (valid 01.08.2018-31.07.2020): 

Home exam 50 %, homeworks 15 %, course project 35%.

Workload (valid 01.08.2018-31.07.2020): 

Contact teaching, independent studies and work based-learning, examination

Contact teaching: 27 h
Indepenedent work: 108 h
Compulsory attendance 3 h

Study Material (valid 01.08.2018-31.07.2020): 

Siegwart Roland et al: Introduction to Autonomous Mobile Robots (2nd edition, 2011), handouts.

Substitutes for Courses (valid 01.08.2018-31.07.2020): 

Replaces the course AS-84.3144.

Course Homepage (valid 01.08.2018-31.07.2020):

Prerequisites (valid 01.08.2018-31.07.2020): 

Basic knowledge of programming, automation and control engineering, robotics and estimation.

Grading Scale (valid 01.08.2018-31.07.2020): 


Further Information (valid 01.08.2018-31.07.2020): 

language class 3: English


Registration and further information