Master's Thesis topic in collaboration with IABG

Access the full thesis topic description here.

Goal:

This thesis topic will aim to:

• Develop a swarm route planning system for a strongly centralized swarm.
• Test the new route planning system in situations where one UAV stops functioning during the mission.

Requirements:

• Student in Computer Science, Mathematics, Robotics, Aerospace, Mechanical Engineering, or a related field.
• Strong foundation in mathematics, particularly in optimization and probability theory.
• Proficiency in programming languages such as Python and C++.
• Familiarity with robotics simulation tools such as ROS (Robot Operating System), or Unreal Engine or AirSim.
• Familiarity with or interest in (swarm) path/route planning approaches and basic (multirotor) flight mechanics.
• Excellent communication skills in English.

Working Plan:

1. Use existing literature to build your understanding of strongly centralized swarms and route planners for UAVs.
2. Design and implement a route planner for the swarm.
3. Using the Airsim-based simulator, measure and evaluate your implementation's performance and robustness.

Deliverables:

• Thesis written in English.
• Presentation of the work.
• Data & code as specified in the IABG contract.

Benefits:

• Paid master thesis contract with IABG.

Advisors:

• David Marson (david.marson@tum.de)
• Michael Wolf (mi.wolf@tum.de)
• Suman Subedi (subedi@iabg.de)

If you are interested in this topic, please email us a short introduction/cover letter and include your CV and grade report.