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Curriculum

Modul CS2110-KP04, CS2110

Mobile Robots (MobilRob14)

Duration:


1 Semester
Turnus of offer:


each summer semester
Credit points:


4
Course of studies, specific field and terms:
  • Bachelor Robotics and Autonomous Systems 2020 (compulsory), Robotics and Autonomous Systems, 4th semester
  • Bachelor Computer Science 2019 (optional subject), major subject informatics, Arbitrary semester
  • Bachelor Media Informatics 2020 (optional subject), Robotics and Autonomous Systems, 5th or 6th semester
  • Bachelor Computer Science 2016 (optional subject), major subject informatics, Arbitrary semester
  • Bachelor Robotics and Autonomous Systems 2016 (compulsory), Robotics and Autonomous Systems, 4th semester
  • Bachelor Computer Science 2014 (compulsory), specialization field robotics and automation, 5th semester
  • Bachelor IT-Security 2016 (optional subject), specific, Arbitrary semester
Classes and lectures:
  • Mobile Robots (exercise, 1 SWS)
  • Mobile Robots (lecture, 2 SWS)
Workload:
  • 55 Hours private studies
  • 45 Hours in-classroom work
  • 20 Hours exam preparation
Contents of teaching:
  • Reactive behaviour
  • Sensors
  • Actuators, kinematics of the drives
  • Hybrid deliberative/reactive behaviour
  • Strategies of actions
  • maps, self-localization
  • Routing and navigation
  • Robot learning
  • Multi-robots
  • Human-robot interaction
  • Currentds trends, sample robots
Qualification-goals/Competencies:
  • The students are able to describe and classify the various AI paradigms for mobile robots (reactive, deliberative, hybrid).
  • They are able to explain and evaluate the most important sensors and actuators for mobile robots.
  • They are able to describe and apply the basic methods of self-localization, planning and navigation in mobile robotics.
  • They are able to iscuss the basic approaches for robot learning as well as multi-robot and human-robot interaction.
  • They are able to elucidate the state of the art and current trends in mobile robotics by sample robots.
  • They are able to design and program mobile robots.
Grading through:
  • Written or oral exam as announced by the examiner
Responsible for this module:
Teachers:
  • Dr. rer. nat. Javad Ghofrani
Literature:
  • J. Hertzberg, K. Lingemann, A. Nüchter: Mobile Roboter - Springer Vieweg 2012
  • R. R. Murphy: Introduction to AI Robotics - Cambridge, MA: The MIT Press 2000
  • R. Siegwart, I. R. Nourbakhsh: Introduction to Autonomous Mobile Robots - Cambridge, MA: The MIT Press 2011
Language:
  • offered only in German
Notes:

Prerequisites for attending the module:
- None

Prerequisites for the exam:
- continuous, successful participation in practical course

Letzte Änderung:
21.2.2023