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Curriculum

Modul CS2500-KP04, CS2500

Robotics (Robotik)

Duration:


1 Semester
Turnus of offer:


each winter semester
Credit points:


4
Course of studies, specific field and terms:
  • Bachelor Robotics and Autonomous Systems 2020 (compulsory), Robotics and Autonomous Systems, 3rd semester
  • Bachelor Computer Science 2019 (optional subject), major subject informatics, Arbitrary semester
  • Bachelor MES 2020 (optional subject), computer science / electrical engineering, 3rd semester at the earliest
  • Bachelor Media Informatics 2020 (optional subject), Robotics and Autonomous Systems, 5th or 6th semester
  • Bachelor Medical Informatics 2019 (optional subject), medical computer science, 4th to 6th semester
  • Bachelor Computer Science 2016 (optional subject), major subject informatics, Arbitrary semester
  • Bachelor Robotics and Autonomous Systems 2016 (compulsory), Robotics and Autonomous Systems, 3rd semester
  • Bachelor IT-Security 2016 (optional subject), computer science, Arbitrary semester
  • Bachelor MES 2014 (optional subject), computer science / electrical engineering, 5th semester
  • Bachelor Medical Informatics 2014 (optional subject), medical computer science, 5th or 6th semester
  • Bachelor Computer Science 2014 (optional subject), central topics of computer science, 5th semester
  • Bachelor Computer Science 2014 (compulsory), specialization field robotics and automation, 3rd semester
  • Bachelor Medical Informatics 2011 (optional subject), Applied computer science, 4th to 6th semester
  • Bachelor Computer Science 2012 (optional subject), central topics of computer science, 5th semester
  • Master CLS 2010 (optional subject), computer science, 3rd semester
  • Bachelor MES 2011 (optional subject), medical engineering science, 3rd or 5th semester
  • Bachelor Computer Science 2012 (compulsory), specialization field robotics and automation, 3rd semester
Classes and lectures:
  • Robotics (lecture, 2 SWS)
  • Robotics Exercise (exercise, 2 SWS)
Workload:
  • 60 Hours in-classroom work
  • 60 Hours private studies
Contents of teaching:
  • Description of serial robotic systems: This part includes the basic components like different types of joints, sensors and actors. Exemplarily, the differing kinematic types are introduced. Also, the mathematical backgrounds are presented, necessary for the description of robots. The direct and inverse kinematics for typical 6-jointed industrial robots is explained.
  • Parallel robot systems: This part deals with the transfer of the results and mathematical models of part 1 onto robotic systems with parallel kinematics.
  • Movement: Robot movements along trajectories/geometric paths are analyzed. Different techniques of path planning are presented as well as methods to determine the configuration space and to perform velocity planning and kinematics.
  • Robot Control: Techniques of control theory and examples of programming techniques in robotics are introduced. Sensor and systems calibration as a typical application of robotics is explained in detail.
Qualification-goals/Competencies:
  • The students are able to solve application-oriented exercises with mathematical background self-dependent, timely and in team work.
  • They have gained basic understanding for the kinematic features of serial and simple parallel robots (includes knowledge of transformations, Euler-/Tail-Bryan-Angles, quaternions, etc.)
  • They made first experiences with the programming of simple robotic applications.
  • They comprehend the complexity and necessity for different path and dynamic planning techniques.
  • The students gained an insight into simple methods for system and sensor calibration.
Grading through:
  • portfolio exam
Is requisite for:
Requires:
Responsible for this module:
  • Prof. Dr. rer. nat. Floris Ernst
Teachers:
  • Prof. Dr. rer. nat. Floris Ernst
Literature:
  • M. Spong et al.: Robot Modeling and Control - Wiley & Sons, 2005
  • H.-J. Siegert, S. Bocionek:: Robotik: Programmierung intelligenter Roboter - Springer Verlag, 1996
  • J.-P. Merlet: Parallel Robots - Springer Verlag, 2006
  • M. Haun: Handbuch Robotik - Springer Verlag, 2007
  • S. Niku: Introduction to Robotics: Analysis, Control, Applications - Wiley & Sons, 2010
Language:
  • offered only in German
Notes:

Admission requirements for taking the module
- None (the competences of the modules mentioned under “Requires” are needed for this module, but are not a formal prerequisite)

Admission requirements for participation in module examination(s):
- None

Module Exam(s):
- CS2500-L1: Robotics, portfolio examination consisting, 100% of the module grade

Note: The portfolio examination consists of: 70 points in the form of a written examination at the end of the semester, 15 points in the form of semester-accompanying programming tasks (group and individual performance), 15 points in the form of semester-accompanying intermediate tests (individual performance)

Letzte Änderung:
3.9.2024