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Simulation-based Path Planning for Drones in Packaging Machines (SA/MA)

Institute
Lehrstuhl für Fördertechnik Materialfluss Logistik (TUM-ED)
Type
Semester Thesis / Master's Thesis /
Content
experimental / theoretical /  
Description

Initial situation

Despite a high level of automation in modern packaging machines, fault handling inside the machine still often requires manual intervention. To reduce this dependency, drones are considered as a potential means to support this process. However, operating a drone safely in confined machine environments poses substantial challenges, particularly with respect to path planning, making development and testing directly on real systems impractical. Under these conditions, simulation is often used as a safe and controllable setting to explore and address these challenges before any real-world deployment.

Objective and approach

This student work aims to establish a simulation environment in which drone path planning inside a packaging machine can be defined and executed.

The main tasks of this work include:

  • Selection of a simulation environment that supports programmatic control and allows future integration of learning-based planning approaches
  • Representation of the target machine and the corresponding drone model in the simulation
  • Definition of the path planning task within this environment
  • Implementation of a basic planning approach to verify that the defined setup functions as intended
  • Execution of selected test scenarios to demonstrate feasibility
Requirements
  • Background in engineering, robotics, computer science, or a related field, and an interest in simulation-based development.
  • Basic experience with programming, preferably in Python
  • Prior experience with simulation environments or virtual testing setups
  • Fundamental understanding of path planning
  • An Independent, solution-oriented, methodical, and structured working style with strong problem-solving skills.

The work is ideally to be completed as a semester, or Master’s thesis. Interested and qualified students are invited to submit a CV, transcripts, and a short motivation letter for the application.

Possible start
sofort
Contact
Yujie Feng, M.Sc.
Room: MW 1590G
Phone: +49 89 289 15942
yujie.fengtum.de
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