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Introduction to Robotics

Module name (EN):
Name of module in study programme. It should be precise and clear.
Introduction to Robotics
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Mechatronics and Sensor Technology, Master, ASPO 01.04.2016
Module code: MST.ERO
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
2V+2P (4 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
Semester: according to optional course list
Mandatory course: no
Language of instruction:
Project work

[updated 08.05.2008]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

KI842 Computer Science and Communication Systems, Master, ASPO 01.04.2016 , semester 2, optional course, informatics specific
MTM.ERO Mechatronics, Master, ASPO 01.04.2020 , optional course, informatics specific
MST.ERO Mechatronics and Sensor Technology, Master, ASPO 01.04.2016 , optional course, informatics specific
PIM-WI20 (P221-0163) Applied Informatics, Master, ASPO 01.10.2011 , semester 1, optional course, informatics specific
MST.ERO Mechatronics and Sensor Technology, Master, ASPO 01.10.2011 , optional course, informatics specific
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
60 class hours (= 45 clock hours) over a 15-week period.
The total student study time is 150 hours (equivalent to 5 ECTS credits).
There are therefore 105 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Steffen Knapp
Lecturer: Prof. Dr. Steffen Knapp

[updated 27.10.2015]
Learning outcomes:
The theoretical part of this course aims at acquainting students with basic tasks and problems from the field of mobile robotics such as, self-localization, navigation, map building and route planning and providing them with the skills necessary to develop appropriate solutions.
This knowledge is then applied to a project carried out in the practical part of the module. The focus of the assignment is less the construction of a robot (Lego NXT), but rather the programming.
After successfully completing this course, students will be able to interpret sensor data intelligently and make efficient use of this data by integrating it into multiple processes.  

[updated 01.10.2020]
Module content:
I. Theoretical part (lecture)
 1. Introduction
  1.1 History and development of robotics   
  1.2 Basics and definitions
  1.3 Control paradigms
 2. Hardware
  2.1 Sensors used in robotics
  2.2 Actuators used in robotics
  2.3 Mechanics and robot kinematics
 3. Navigation
  3.1 Mathematical principles
  3.2 Dead reckoning
  3.3 Navigation using landmarks - Examples from biology
 4. Map building and route planning
  4.1 Measurement data acquisition with ultrasonic sensors
  4.2 Sensor fusion and mapping
II.  Practical part (Project)
 Creating a mobile robot (groups of 2 students each)
 - Familiarization with the hardware and software
 - Group-specific task description and project discussions
 - Design, implementation and test
 - Documentation
 - Lecture with presentation   

[updated 01.10.2020]
Recommended or required reading:
NEHMZOW, Ulrich, Mobile Robotik, "Eine praktische Einführung", Springer Verlag Berlin-Heidelberg, 2002
GOCKEL, DILLMANN, Embedded Robotics, "Das Praxisbuch", Elektor-Verlag, Aachen, 2005
BRÄUNL, THOMAS, Embedded Robotics, Springer Verlag, Berlin-Heidelberg, 2008, (3.Aufl.)

[updated 01.10.2020]
[Sat Jul 20 20:28:52 CEST 2024, CKEY=robotik, BKEY=mstm2, CID=MST.ERO, LANGUAGE=en, DATE=20.07.2024]