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Master's Thesis: Multi-Agent Path Planning for LiDAR Acquisition (Robotics, Computer Science)
Job Description
Req ID:  1099
Place of work:  Oberpfaffenhofen
Starting date:  01.05.2025
Career level:  Student research project and final thesis
Type of employment:  Full-time, Part time
Duration of contract:  6 Months

Remuneration: Remuneration is in accordance with the Collective Agreement for the Public Sector - Federal Government (TVöD-Bund)

Enter the fascinating world of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt e. V.; DLR) and help shape the future through research and innovation! We offer an exciting and inspiring working environment driven by the expertise and curiosity of our 11,000 employees from 100 nations and our unique infrastructure. Together, we develop sustainable technologies and thus contribute to finding solutions to global challenges. Would you like to join us in addressing this major future challenge? Then this is your place!

The DLR Institute of Communications and Navigation is dedicated to mission-oriented research in selected areas of communications and navigation. Its work ranges from the theoretical foundations to the demonstration of new procedures and systems in a real environment and is embedded in DLR's Space, Aeronautics, Transport, Security and Digitalization programmes.

What to expect

In emergent search and rescue situations, time is of the essence. Systematic path optimization is essential. Laser scanners are a proven tool to gather 3D information about ground surface. Drones can be used to acquire essential data for mapping. By leaning on these compatible technologies, an optimized approach can be derived. Our goal is to find the most optimal path for a swarm of drones to gather necessary data in a search and rescue scenario.

 

Your taks

Your task will be to investigate state-of-the-art path planning algorithms for a swarm of drones with the purpose of acquiring point cloud data. The solutions should be evaluated in simulations and in-situ.

 

Your profile

  • strong proficiency in Python programming; experience with ROS/ROS2 is a valuable advantage
  • hands-on experience with or a keen interest in hardware implementations
  • familiarity with point cloud data and image processing
  • ability to work independently with a self-motivated approach

 

Remuneration depends on qualifications and job assignment up to pay grade E5 TVöD.

 

We offer

DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.

We look forward to getting to know you!

If you have any questions about this position (Vacancy-ID 1099) please contact:

Dmitriy Shutin 
Tel.: +49 8153 28 2873 
Apply now