Master student Robotics, Computer Science or similar (f/m/x)

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.

DLR - Helmholtz / Deutsches Zentrum für Luft- und Raumfahrt

Visit employer page

Deadline: 2023-05-31
Location: Germany, Oberpfaffenhofen
Categories: Computer Engineering, Computer Sciences, Programming, Programming Languages, Robotics, Student Assistants,


TU Darmstadt

Aarhus University

DSMZ - Leibniz-Institut / Deutsche Sammlung von Mikroorganismen und Zellkulturen

University of Basel

ISST - Fraunhofer-Institut / für Software- und Systemtechnik

PTB Physikalisch-Technische Bundesanstalt

Bayer AG

FH Münster

International Max Planck Research School - Molecular Biomedicine

FVB - Leibniz Forschungsverbund Berlin

More jobs from this employer