As Advanced Learning, Control, and AutomatioN (ALCAN) Research Group at Tampere University, we are dedicated to solving one of the most critical challenges in modern technology: ensuring the safety and reliability of complex autonomous systems that interact directly with people. From autonomous vehicles and industrial robots to assistive machines, our mission is to build the foundation of trust between humans and intelligent technology.
The Core Challenge
Today’s technological wonders, from robotics to autonomous transport, have the potential to revolutionize our world. However, these systems are governed by unique dynamics and ever-increasing complexities. Our primary goal is to enable these systems to function safely and reliably by equipping them to handle uncertain or time-varying conditions and adapt to a constantly changing environment.
To achieve this, we tackle the following key theory challenges:
- Uncertainty-aware system modeling and identification
- Constrained optimization for safety and performance
- Learning to manage real-world system complexity and variability
- Data-efficient, real-time, and explainable implementation
Core Research Areas
We apply our foundational research to solve tangible problems in three primary areas:
