Fraunhofer-Gesellschaft

Masterthesis - Model Predictive Path Following with System Identification and Wheel Slip Estimation

Fraunhofer-Gesellschaft  •  Stuttgart, DE (Onsite)  •  5 months ago
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Job Description

Advertisement for the field of study such as: Robotics, Cybernetics, Computer Science, Mechanical Engineering, Mechatronics or comparable.

In the “Mobile Robot Navigation” research group, we develop autonomous mobile robots for outdoor applications, such as in agriculture and forestry, in the municipal sector, and in logistics. The focus is on precise and robust navigation in outdoor environments.

Classic path-following controllers (e.g., Regulated Pure Pursuit, DWB, TEB) calculate target speeds for a given path, which are converted into wheel commands by a base controller. These approaches often suffer from limited path-following accuracy, high parameterization effort, and inappropriate behavior on slippery surfaces. The goal of the master's thesis is to develop a model predictive path follower controller (MPC) that uses the identified models while taking into account surface-dependent slip effects.

What you will do

  • Analysis of the existing navigation stack (path-following controller, base controller) and system identification
  • Extension of the existing system identification to include slip effects: Derivation of a parameterized vehicle model from short manual drives, taking into account different surfaces (e.g., sand, asphalt, grass, gravel)
  • Developing and tuning an MPC on the identified models
  • Integrating into an existing ROS2 environment
  • Validating in simulation in an existing ROS2 environment and on our own developed robots
  • Comparing with existing controllers in terms of path error and stability
  • Documenting, evaluating, and scientifically processing the results

What you bring to the table

  • Valid enrollment at a German university/Hochschule in robotics, cybernetics, computer science, mechanical engineering, mechatronics, or similar fields
  • Knowledge of predictive or model-based control is an advantage (e.g. MPC)
  • Experience with ROS is an advantage
  • Analytical thinking skills
  • Enthusiasm for mobile robotics
  • Fluent in English or German

What you can expect

  • Cutting-edge technology in the field of mobile outdoor robotics
  • Practical work with our robots in Stuttgart
  • Responsibility and freedom to implement your own ideas
  • Collaboration with the best students in their field

We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.

Interested? Apply online now. We look forward to getting to know you!

Frau Jennifer Leppich

Recruiting

+49 711 970-1415

jennifer.leppich@ipa.fraunhofer.de

Fraunhofer Institute for Manufacturing Engineering and Automation IPA

www.ipa.fraunhofer.de

Requisition Number: 82691 Application Deadline:

Fraunhofer-Gesellschaft

About Fraunhofer-Gesellschaft

Die Fraunhofer-Gesellschaft ist eine der führenden Organisationen für anwendungsorientierte Forschung: Seit der Gründung 1949 stärken Fraunhofer-Institute die Wettbewerbsfähigkeit der Wirtschaft und den Innovationsraum in Deutschland und Europa. Mit ganzheitlichen Angeboten für Wirtschaft und Politik liefert Fraunhofer Lösungen für branchenübergreifenden Impact. Darüber hinaus ist die Fraunhofer-Gesellschaft ein bedeutender Standortfaktor für das Innovationsland Deutschland: Durch die Aktivitäten erhöhen sich Investitionseffekte in der Wirtschaft, erlangen Unternehmen innovationsbasierte Wettbewerbsvorteile, entstehen Arbeitsplätze, Fachkräfte werden qualifiziert und es steigt die gesellschaftliche Akzeptanz moderner Technik.

Industry
Biotech & Life Sciences
Company Size
1,001-5,000 employees
Headquarters
München, DE
Year Founded
1949
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