Course paper / final thesis

Robot Motion Planning

Starting date


Duration of contract

6 months


up to German TVöD 5

Type of employment


Sampling-based motion planning algorithms like Rapidly-exploring Random Trees (RRT) and Probabilistic Roadmaps (PRM) have proven to be effective in high-dimensional configuration spaces and can handle complex, real-world environments. However, this approach can suffer from the curse of dimensionality, where the number of samples needed to cover the configuration space grows exponentially with the number of dimensions.
We are seeking a motivated and talented student to join our research team as a Masterthesis Intern in robot motion planning: Leveraging statistical machine learning to increase the efficiency of motion planning through identification of the environment state. The successful candidate will have the opportunity to work on cutting-edge projects in the field of robotics and contribute to the advancement of motion planning algorithms.

Your responsibilities will be:

  • conduct research in the field of sampling-based motion planning, focusing on the development and implementation of new algorithms to exploit previous experience to increase efficiency
  • design and conduct experiments to evaluate the performance of the developed algorithm
  • write and present a comprehensive Master's thesis on the research work

We offer:

  • the opportunity to work on real manipulators for industrial automation
  • an opportunity to learn from experienced robotics professionals
  • a chance to grow and apply your skills and knowledge

Your qualifications:

  • currently enrolled in a Master's degree in Robotics, Computer Science, or a related field
  • knowledge of Python and C++
  • professional working proficiency in English and/or German
  • experience in Robotics and/or applied knowledge of Gaussian Mixture Models is a plus

Your benefits:

Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development. Our unique infrastructure offers you a working environment in which you have unparalleled scope to develop your creative ideas and accomplish your professional objectives. Our human resources policy places great value on a healthy family and work-life-balance as well as equal opportunities for persons of all genders (f/m/x). Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.

  • Apply online now
  • You can send this job advertisement via e-mail and complete your application on a personal computer or laptop.

    We need your digital application documents (PDF). The document upload function is not supported by all mobile devices. Please complete your application on a PC/laptop.

    Complete application on PC

Technical contact

Peter Lehner
In­sti­tute of Robotics and Mecha­tron­ics

Phone: +49 81 53281-075

Send message

Vacancy 79135

HR department Oberpfaffenhofen

Send message

DLR site Oberpfaffenhofen

To location

DLR-Institute of Robotics and Mechatronics

To institute