Module CS2500-KP04, CS2500
Robotics (Robotik)
Duration
1 Semester
Turnus of offer
each winter semester
Credit points
4
Course of studies, specific fields and terms:
- Bachelor Robotics and Autonomous Systems 2020 , compulsory, Robotics and Autonomous Systems
- Bachelor Computer Science 2019, optional subject, major subject informatics
- Bachelor MES 2020, optional subject, computer science / electrical engineering
- Bachelor Media Informatics 2020, optional subject, Robotics and Autonomous Systems
- Bachelor Medical Informatics 2019, optional subject, medical computer science
- Bachelor Computer Science 2016, optional subject, major subject informatics
- Bachelor Robotics and Autonomous Systems 2016, compulsory, Robotics and Autonomous Systems
- Bachelor IT-Security 2016, optional subject, computer science
- Bachelor MES 2014, optional subject, computer science / electrical engineering
- Bachelor Medical Informatics 2014, optional subject, medical computer science
- Bachelor Computer Science 2014, optional subject, central topics of computer science
- Bachelor Computer Science 2014, compulsory, specialization field robotics and automation
- Bachelor Medical Informatics 2011, optional subject, Applied computer science
- Bachelor Computer Science 2012, optional subject, central topics of computer science
- Master CLS 2010, optional subject, computer science
- Bachelor MES 2011, optional subject, medical engineering science
- Bachelor Computer Science 2012, compulsory, specialization field robotics and automation
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:
Responsible for this module:
- Prof. Dr. rer. nat. Floris Ernst
Teacher:
- Institute for Robotics and Cognitive Systems
- 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)
Last Updated:
03.09.2024