Hi! We are the Autonomous Vehicle Systems (AVS) lab. Our focus is on mobile robotics – especially on autonomous systems that can move safely, efficiently, and intelligently through complex and dynamic environments.
In our research, we develop novel algorithms for interactive trajectory and behavior planning, adaptive control, and continuous learning. Our goal is to advance the next generation of intelligent and autonomous robots.
We tackle real-world challenges: from mobile robots and autonomous vehicles to intelligent multi-robot systems. Would you like to help shape innovation in mobile robotics with us? We’d love to hear from you – whether you're interested in a thesis, a project, or a collaboration.
Our research aims to develop the next generation of intelligent autonomous systems. The methods and algorithms we develop are applicable across a broad spectrum of mobile robotics, enabling safe, robust, and adaptive operation in complex environments.
Autonomous street vehicles including cars and trucks for safe and efficient operation in dynamic traffic scenarios.
Autonomous off-road vehicles such as agricultural and construction machines (e.g., tractors), designed to operate reliably in rough terrain.
Legged and humanoid robots addressing challenges in mobile manipulation and interaction with humans.
Our vision is to enable safe and trustworthy autonomy for highly integrated autonomous vehicle and robotic systems operating in complex, real-world environments.
To this end, we develop novel software, algorithms, and methodological foundations for autonomous systems that must interact with other vehicles, robots, and humans while meeting strict requirements on safety, reliability, and performance.
A central focus of our work is the integration of modern AI methods, including learning-based approaches and foundation models, into autonomous decision-making pipelines. Building on these methods, we design advanced perception, motion planning and control systems that operate under uncertainty and in multi-agent environments, enabling autonomous systems to act safely, efficiently, and confidently in dynamic scenarios.
