Matti Vahs

Last change: 28.02.2024

About Me

I am a third-year PhD candidate in the Division of Robotics, Perception and Learning (RPL) at KTH Royal Institute of Technology working with Prof. Jana Tumova and Dr. Christian Pek. My research interests focus on risk-aware motion planning and control with application to mobile robotics. Specifically, I am currently working on methods for motion planning and control that take into consideration the uncertainty arising from state estimation modules such as Kalman filters or particle filters.

My research is funded by the Wallenberg AI, Autonomous Systems and Software Program.

Before starting my PhD I received my Bachelor's Degree in Mechanical Engineering and a Master's Degree in Theoretical Mechanical Engineering from Hamburg University of Technology, Germany, in 2018 and 2021. During my masters I was a visiting student at the Hybrid Robotics lab at University of California, Berkeley.

Thesis Supervision

I have a broad interest in the entire robotics pipeline and I'd be happy to supervise master's students who are interested in working on a project with me. Current proposals can be found here and are listed below.

1. Combining Safe Control and Filter-based Visual Inertial Odometry
2. Obstacle Avoidance in Unknown Environments Using Depth Information
3. Model Predictive Control for Spatio-temporal missions
4. Verification of Robotic Systems in the Presence of Uncertainties

Supervised Theses

Model Predictive Control for Spatio-temporal Missions, Matthew  William Lock, Masterthesis, ongoing

Safety-critical Teleoperation with Time-varying Delays, Riccardo Periotto, Masterthesis, 2023

Dynamic Window Approach for Dynamic Obstacle Avoidance Using Camera Depth as Input,Florian Coissac, Masterthesis, 2023

Multi-Agent Information Gathering Using Stackelberg Games, Yiming Hu, Masterthesis, 2023