Knut Åkesson

Knut Åkesson is a Professor in Automation at the Department of Electrical Engineering, Chalmers University of Technology. His research focuses on rigorous methods for verification and control in safety-critical autonomous systems, optimization of high-variability production systems, and applications of computer vision and deep learning in industrial automation.

• He serves as lecturer/examiner for courses in automatic control and model-based development of cyber-physical systems.
• He is the master program director for Systems, Control, and Mechatronics.

Research Interests: Knut's work spans formal verification of cyber-physical systems, collision-free trajectory planning for robots, and fault localization in automation systems. His methods integrate Bayesian optimization, deep reinforcement learning, and model predictive control for dynamic obstacle avoidance.

Recent Publications (2025-2022): His 15 most recent articles address challenges in multimodal motion prediction, conflict-free electric vehicle routing, structural coverability for automation systems, and falsification techniques using SMT solvers. These papers appear in venues such as IEEE Robotics and Automation Letters, IEEE Transactions on Embedded Computing Systems, and IEEE International Conference on Automation Science and Engineering.

Projects: Knut leads initiatives like The Smart and Connected Worker (ArtWork) (VINNOVA, 2024–2026) and contributes to AIHURO-Intelligent Människa-Robot-Samarbete (VINNOVA, 2023–2026). His work often involves collaboration with industry partners such as Volvo Group.