Universität Bonn

Geodesy and Geoinformation

Mobile Sensing and Robotics

About the profile

Mobile robots and other vehicles equipped with sensors to perceive their surroundings are impacting numerous applications. This ranges from autonomous cars and logistics tasks, over agricultural robots operating autonomously on our fields, to robots performing inspections or executing mobile manipulation tasks.

The profile "Mobile Sensing and Robotics" in the University of Bonn's Geodetic Engineering MSc program teaches you to understand and program such systems.

Your interests

  • multi-sensor systeme
  • smart farming
  • UAV,
  • self-driving cars
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© IGG | Cyrill Stachniss | Jens Behley

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© IGG | Philipp Lottes | Cyrill Stachniss

Your background

  • solid foundations in mathematics
  • solid foundations programming
  • highly motivated to acquire new skills for setting up your own research projects


Programming

Programming is a basic skill needed to solve tasks and complete homework assignments and thus is essential to thriving within the profile of Mobile Sensing and Robotics. The majority of courses, especially all mandatory ones, require Python skills. An elective course will provide an introduction to C++ and its usage in programming robots.

 If you have not worked with Python so far, we highly recommend to study it before arrival using our "Python Basics Playlist".


Features of the profile

The course program addresses state-of-the-art techniques for analyzing and interpreting sensor data and turning it into appropriate models. As a student in this profile, you will become familiar with complex multi-sensor systems. It involves combining different types of sensors like laser scanners, cameras, GNSS receivers, or inertial sensors. You will learn to implement algorithms to calibrate such sensors, use and analyze their data, and fuse different sensor data to estimate the vehicle's pose and the surrounding objects. Methods for kinematic pose estimation and pattern recognition and their use for interpreting image and laser data are key skills.

Besides numerous application areas, the faculty explicitly offers a unique opportunity for collaborating on smart-farming problems and innovative technologies for sustainable development. The study program will provide you with expertise in solution-oriented approaches, which are theoretically founded and on the frontier of current research activities. You will also learn skills in project management, teamwork, and the presentation of your work.


Outlook

The profile aims to provide students with the expertise and capabilities required to work in academia, research institutions, and robotics or geodetic technology companies. Courses are taught by internationally renowned experts in engineering geodesy, robotics, photogrammetry, and data analysis.

Lecturer in the Profile

Avatar Kuhlmann

Prof. Dr.-Ing. Heiner Kuhlmann

Lecturer

1.010

Nußallee 17

53115 Bonn

Avatar Stachniss

Prof. Dr. rer. nat. Cyrill Stachniss

Lecturer

Nußallee 15

53115 Bonn

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