Master Thesis in Autonomous Navigation

vor 1 Woche

Stuttgart, Baden-Württemberg, Deutschland Fraunhofer-Gesellschaft Vollzeit
Join Our Research Team

We are seeking a highly motivated and skilled master's student to contribute to the development of autonomous navigation solutions for outdoor applications. In this role, you will work on the development and implementation of a data fusion algorithm for traversability analysis, which is a critical component of autonomous navigation systems.

Key Responsibilities
  • Develop and implement a data fusion algorithm for traversability analysis
  • Evaluate existing approaches and derive a novel concept for combining multiple traversability information sources
  • Implement the algorithm using ROS in C++
  • Test and evaluate the performance of the algorithm on our outdoor robot CURTmini
Requirements
  • Background in Computer Science, Software Engineering, Electrical Engineering, Mechatronics, or a related field
  • Profound knowledge of C++ and ROS
  • Experience with algorithm development and analytical mindset
  • Enthusiasm for mobile robotics and autonomous systems
  • Fluent in English or German
What We Offer
  • Cutting-edge technology in the field of outdoor mobile robotics
  • Hands-on experience with our robots on our own test fields in Stuttgart
  • Opportunity to take on responsibility and implement your own ideas
  • Collaboration with a team of experts in the field
  • A dynamic and inclusive work environment

We value diversity and promote equal opportunities for all applicants. We welcome applications from candidates with disabilities and offer support to ensure equal access to the application process.

Fraunhofer-Gesellschaft is a leading research organization that focuses on developing key technologies for the future. We are committed to innovation and excellence in our research and development activities.

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