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#40305 / #5

WS 2017/18 - SS 2019


Applications of Robotics and Autonomous Systems


Albayrak, Sahin




Fakultät IV

Institut für Wirtschaftsinformatik und Quantitative Methoden

34361200 FG Agententechnologien in betrieblichen Anwendungen und der Telekommunikation (AOT)

No information


TEL 14

Xu, Yuan


Learning Outcomes

The students will have an in-depth knowledge and hands-on experience on emerging fields of Robotics and Autonomous Systems (RAS) towards a smooth transition from theoretical knowledge to their applications in dynamic real-time environments. They will experience a full R&D project cycle covering researching, setting-up, developing and finalizing (testing on real systems or on simulation). These will have a deeper insight into the scientific and technological aspects of existing solutions in artificial intelligence and multi-agent systems. The students will experience various computer vision, learning and planning problems in RAS, will have improved programming skills (e.g. python / C++) in real applications and get familiar with Robotic Operating System (ROS).


The projects comprise of a selection of topics / problems in line with the department’s research and development activities. These changing topics will be from emerging fields of RAS, for example: - Autonomous Robots in Real-World Tasks (e.g. UAVs, service / companion robots), - Human-Robot Interaction (HRI), - Smart Factory (Industry 4.0), - Autonomous Vehicles, - … An introduction to ROS, selected simulation environments (e.g. Gazebo, MORSE) and the available real systems (HWs) will be given in the first few lectures as well as a number of suggested topics. The topics overall cover, but are not limited to, the technical work below: - complex system architectures / frameworks for autonomous agents, - multi/single-agent planning (in stochastic/deterministic conditions), - perception and cognition of sensory inputs (e.g. 3D camera), e.g. object recognition, human & behaviour recognition - machine learning for real-world applications (e.g. reinforcement learning, deep learning) - human-aware planning (e.g. assistant robots, autonomous cars) - basic robotic tasks: motion planning for manipulation - deployment of a complex real world system

Module Components


All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Applications of Robotics and Autonomous SystemsPJ0435 L 759bWiSe/SoSeNo information4

Workload and Credit Points

Applications of Robotics and Autonomous Systems (PJ):

Workload descriptionMultiplierHoursTotal
270.0h(~9 LP)
The Workload of the module sums up to 270.0 Hours. Therefore the module contains 9 Credits.

Description of Teaching and Learning Methods

Weekly project meetings, lectures towards the selected topics or used frameworks (ROS), supervised project works in small groups, system design description, milestones, final report and demonstration/presentation.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

There are no specific prerequisites for this module. A general knowledge of programming (e.g. python, C/C++) and an overall interest in robotics are sufficient.

Mandatory requirements for the module test application:

This module has no requirements.

Module completion



Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt



Test elements

Ergebnisprüfung: Abschlusspräsentation und Review20oral90 Minuten
Ergebnisprüfung: Design25writtenca 2 Wochen
Ergebnisprüfung: Evaluation und Dokumentation25writtenca 2 Wochen
Ergebnisprüfung: Implementierung und Test30practicalca 3 Wochen

Grading scale

Notenschlüssel »Notenschlüssel 2: Fak IV (2)«


Test description (Module completion)

Die Gesamtnote gemäß § 47 (2) AllgStuPO wird nach dem Notenschlüssel 2 der Fakultät IV ermittel.

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Winter- und Sommersemester.

Maximum Number of Participants

The maximum capacity of students is 15.

Registration Procedures

Qispos oder Prüfungsamt und zusätzlich durch Registrierung auf der ISIS-Kursseite. The module can take upto 15 students, but it may change according to the available topics each semester

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable


Electronical lecture notes

Availability:  available
Additional information:
Lehrmaterial wird auf der ISIS-Seite bereitgestellt.



Recommended literature
No recommended literature given

Assigned Degree Programs

This module is used in the following Degree Programs (new System):

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
This module is not used in any degree program.


No information