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Robotics Lab Course

Module name (EN):
Name of module in study programme. It should be precise and clear.
Robotics Lab Course
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Applied Informatics, Bachelor, ASPO 01.10.2011
Module code: PIBWI95
SAP-Submodule-No.:
The exam administration creates a SAP-Submodule-No for every exam type in every module. The SAP-Submodule-No is equal for the same module in different study programs.
P221-0174
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.
2P (2 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.
5
Semester: 5
Mandatory course: no
Language of instruction:
German
Assessment:
Project work

[updated 19.02.2018]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

KI627 (P222-0078) Computer Science and Communication Systems, Bachelor, ASPO 01.10.2014 , semester 6, optional course, technical
KIB-ROBP Computer Science and Communication Systems, Bachelor, ASPO 01.10.2021 , semester 6, optional course, technical
KIB-ROBP Computer Science and Communication Systems, Bachelor, ASPO 01.10.2022 , semester 6, optional course, technical
PIBWI95 (P221-0174) Applied Informatics, Bachelor, ASPO 01.10.2011 , semester 5, optional course, informatics specific
PIB-ROBP Applied Informatics, Bachelor, ASPO 01.10.2022 , semester 4, optional course, informatics specific
Workload:
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).
30 class hours (= 22.5 clock hours) over a 15-week period.
The total student study time is 150 hours (equivalent to 5 ECTS credits).
There are therefore 127.5 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
None.
Recommended as prerequisite for:
Module coordinator:
Dipl.-Ing. Dirk Ammon
Lecturer:
Dipl.-Ing. Dirk Ammon


[updated 20.07.2011]
Learning outcomes:
After successfully completing this module, students will be familiar with the properties and effects of different sensors and actuators and how these can be modeled in software. Students will learn methods of navigation and mapping for mobile robots and how to use them. Students will be able to construct and program a mobile robot that fulfills a specific task.

[updated 19.02.2018]
Module content:
  
1. Theory
- History of robotics, overview of robotics,
- Sensors and actuators
- Evaluation of measured values and sensor fusion
- Odometry and dead reckoning
- Mapping methods
 
II. Practice
Creating a mobile robot Groups consisting of 2 students each receive the necessary equipment.
. Familiarization with the hardware and software by means of simple exercises and tasks
- Group-specific project
- Building and programming the robot, realization and test
- Documentation
- Lecture with presentation   
  

[updated 19.02.2018]
Teaching methods/Media:
Lecture with PowerPoint slides in the theoretical part, supervised practical experiments during the practical phase, work in largely independent individual groups with accompanying project discussions during the realization.


[updated 19.02.2018]
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

[updated 19.02.2018]
Module offered in:
SS 2016, SS 2015, WS 2013/14, WS 2012/13, WS 2011/12, ... 
[Thu Nov 21 14:53:53 CET 2024, CKEY=kr, BKEY=pi, CID=PIBWI95, LANGUAGE=en, DATE=21.11.2024]