Module Handbook

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Module INF-61-33-M-6

Autonomous Mobile Robots (M, 8.0 LP)

Module Identification

Module Number Module Name CP (Effort)
INF-61-33-M-6 Autonomous Mobile Robots 8.0 CP (240 h)

Basedata

CP, Effort 8.0 CP = 240 h
Position of the semester 1 Sem. in SuSe
Level [6] Master (General)
Language [DE/EN] German or English as required
Module Manager
Lecturers
Area of study [INF-ES] Embedded Systems and Robotics
Reference course of study [INF-88.79-SG] M.Sc. Computer Science
Livecycle-State [NORM] Active

Courses

Type/SWS Course Number Title Choice in
Module-Part
Presence-Time /
Self-Study
SL SL is
required for exa.
PL CP Sem.
4V+2U INF-61-33-K-6
Autonomous Mobile Robots
P 84 h 156 h
U-Schein
ja PL1 8.0 SuSe
  • About [INF-61-33-K-6]: Title: "Autonomous Mobile Robots"; Presence-Time: 84 h; Self-Study: 156 h
  • About [INF-61-33-K-6]: The study achievement "[U-Schein] proof of successful participation in the exercise classes (ungraded)" must be obtained.
    • It is a prerequisite for the examination for PL1.

Examination achievement PL1

  • Form of examination: oral examination (20-60 Min.)
  • Examination Frequency: each semester
  • Examination number: 66133 ("Autonomic Mobile Robots I, II")

Evaluation of grades

The grade of the module examination is also the module grade.


Contents

  • AMR system components
  • Kinematics and dynamics of wheel-driven robots
  • Collision avoidance
  • Navigation
  • SLAM (Simultaneous Localisation and Mapping)
  • Algorithms for the estimation of positions
  • Vision in mobile robotics

Competencies / intended learning achievements

Upon successful completion of the module, students will be able to
  • explain the conception and construction of autonomous systems
  • apply kinematic and dynamic modeling of wheel-based robots
  • explain algorithmic principles for localization in autonomous systems,
  • select and apply suitable algorithms for autonomous systems in a problem-oriented way,
  • apply basic positioning techniques,
  • derive key challenges of mapping and localization,
  • characterize central challenges of image processing for mobile robots,
  • design complex control architectures,
  • derive central challenges in the coordination of autonomous systems.

Literature

  • R- Siegwart and I.R. Nourbakhsh (2004). Introduction to Autonomous Mobile Robots. The MIT Press.
  • S. Iyengar and A. Elfes (1991). Autonomous Mobile Robots - Perception, Mapping and Navigation, volume 1. Institute of Electrical and Electronic Engineers.
  • Jones, J. L. (1993). Mobile Robots — From Inspiration to Implementation. Addison Wesley.
  • Concrete literature will be announced in the lecture.

References to Module / Module Number [INF-61-33-M-6]

Course of Study Section Choice/Obligation
[INF-88.79-SG] M.Sc. Computer Science [Specialisation] Specialization 1 [WP] Compulsory Elective
[EIT-88.A20-SG#2021] M.Sc. European Master in Embedded Computing Systems (EMECS) [2021] [Free Elective Area] Elective Subjects [W] Elective Module
[EIT-88.D55-SG#2021] M.Sc. Embedded Computing Systems (ESY) [2021] [Free Elective Area] Elective Subjects [W] Elective Module
Module-Pool Name
[EIT-AC-MSC-TW-MPOOL-7] General Elective Modules Master A&C
[INF-SIAK-DT-ENG-MPOOL-6] SIAK Certificate "Digital Transformation" - Modules INF "Engineering"
[MV-MB-INF-2022-MPOOL-6] Wahlpflichtmodule M.Sc. Maschinenbau mit angewandter Informatik 2022
[MV-MBINFO-MPOOL-6] Wahlpflichtmodule Maschinenbau mit angewandter Informatik