Robotik II

Type of lecture Lecture + Excercise + Lab
Level Master
Semester Summer semester
Credit points 5 CP
Workload 3 contact hours per week
Examination written exam (90 min)
Lecture Prof. Dr.-Ing. Thomas Seel
Excercise Instructor M. Sc. Jan Piosik

Course objective

The lecture covers recent advancements in the field of robotics. It includes the analysis of kinematics and dynamics of parallel robot structures, as well as both linear and nonlinear methods for identifying key system parameters. In addition, it introduces techniques for vision-based control and explores fundamental concepts of kinodynamic motion planning through practical, robotics-related applications.

Course content

  • Parallel Kinematic Machines
    • Structures
    • Inverse and forward kinematics
    • Kinematic performance metrics
  • Dynamics and redundant kinematics
    • Identification and Optimization Algorithms
    • Linear and nonlinear methods
    • Deterministic approaches
    • Optimal excitation techniques
  • Visual Servoing
    • 2½D and 3D methods
    • Camera calibration
  • Kinodynamic motion planning
    • Definitions and core concepts
    • Common methods and techniques

Materials

The lecture-related materials for the course "Robotics II" will be made available for download on Stud.IP throughout the course of the lecture. These include the script, exercises, exam materials, and supplementary literature.

Supporting videos related to the script content can be found here.

Important notes

The course is supplemented by a so-called "Remote Lab": Using a Delta robot, you will explore the lecture and exercise content through a series of hands-on lab experiments. Some parts of the experiment analysis benefit from prior knowledge of MATLAB. Access to the lab setup is provided via remote control, allowing you to carry out the experiments anytime from your own computer.

Office hours

There are no fixed office hours offered for this course. Instead, we encourage you to use the Stud.IP forum to ask your questions. This not only allows your fellow students to help you, but also ensures that the entire group can benefit from the responses provided by the teaching staff.

Of course, individual appointments can be arranged at any time if you have specific questions about the course. To do so, please send an email to the course coordinator listed below.

A dedicated exam review session is usually offered to help you prepare for the exam. Please keep an eye on the announcements in Stud.IP for details.
 

Contact

M. Sc. Jan Piosik
Research Staff
Address
An der Universität 1
30823 Garbsen
Building
Room
M. Sc. Jan Piosik
Research Staff
Address
An der Universität 1
30823 Garbsen
Building
Room