Agile Trajectory Planning in Competitive Multi-Agent Scenarios

Institute

Professur für autonome Fahrzeugsysteme (TUM-ED)

Type

Master's Thesis /

Content

experimental / theoretical /  

Description

🤖🏎️ **Open Position: Master Thesis** — 6 Months

📍 **TUM Autonomous Vehicle Systems Lab** (TUM-AVS), Technical University of Munich, Germany

Are you passionate about **AI** 🧠, **robotics** 🤖, and high-performance **racing** 🏎️? Then this is the opportunity for you!

We are offering one position for a Master's thesis student on:
 

**Agile Trajectory Planning in Competitive Multi-Agent Scenarios** 🏁

**Scope**:

🏎️ Develop a new sampling-based trajectory planner for minimum-time racing

🤖 Integrate motion primitive generation methods (from neural networks to optimization-based algorithms)

🏁 Real-world deployment and validation on RoboRacer platforms (The Roboracer Foundation) in multi-vehicle racing scenarios
 

**Requirements**:

🧠 Strong critical thinking and independence

🔬 Research-oriented mindset

💻 Very good programming skills in C++, MATLAB / Python

🔧 Experience with ROS2 and experimental hardware
 

**Expected Outcome**:

📄 Journal or conference publication in a high-impact venue (RA-L, ICRA, IROS)
 

**Timeline**:

⏳ 6 months, starting between April–June 2026

**Supervision**:

  • Dr. Mattia Piccinini (TUM-AVS)

  • Prof. Johannes Betz (TUM-AVS)

  • Prof. Francesco Biral (co-advisor, Università di Trento, Italy)
 

This opportunity places you at the intersection of AI, 🤖 robotics, and 🏎️ high-performance autonomous racing — with methods transferable to broader robotic systems including drones — a direct entry point into cutting-edge **AI-robotics research**! 

📩 **Apply** via email to: mattia.piccinini@tum.de 

**Subject line must include**: [external research collaboration]

**Note**: This position is open to both Master’s and PhD students, also from external institutions, as a visiting research opportunity at TUM-AVS.

**Include** in your application:

  • CV

  • Transcript of exam marks (for Master’s students) or publication list (for PhD students)
 

Requirements

🧠 Strong critical thinking and independence

🔬 Research-oriented mindset

💻 Very good programming skills in C++, MATLAB / Python

🔧 Experience with ROS2 and experimental hardware

Tags

AVS Piccinini

Possible start

sofort

Contact

Mattia Piccinini
mattia.piccininitum.de

Announcement