Christian Fredrik Sætre

Christian Fredrik Sætre serves as an Associate Professor in Automation and Robotics at the Department of Technical Cybernetics, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU). His academic career is deeply rooted at NTNU, where he earned both his MSc and PhD degrees from the same department, complemented by a professional certificate as an automation mechanic.

His educational background includes:

• MSc from Department of Technical Cybernetics, NTNU
• PhD from Department of Technical Cybernetics, NTNU
• Certificate as an automation mechanic

Sætre's research program focuses on advanced control engineering, with particular emphasis on time-invariant nonlinear control of underactuated dynamic systems. His work bridges theoretical control systems with practical robotics applications, specializing in motion planning algorithms and machine learning approaches for machine vision. His expertise spans both classical and deep learning methodologies applied to automation challenges. The integration of control theory with robotics forms the core of his scholarly contributions, as evidenced by his publications on orbital stabilization techniques.

His publication record demonstrates a consistent research trajectory in nonlinear control systems, with recent work exploring orbital stabilization methods for underactuated mechanical systems. These publications appear in high-impact venues including Automatica and the International Journal of Robust and Nonlinear Control, reflecting the significance of his contributions to control theory.

Sætre actively contributes to academic instruction through teaching responsibilities that include:

• AIST1001 - Automation, introduction
• IELET2101 - Control Engineering 2
• IELET2107 - Robotics and machine vision
• AIST2101 - Artificial intelligence for robotics and automation
• IELET2920 - Bachelor Thesis Automation
• AIST2900 - Bachelor thesis in engineering

Previously, he taught TTK4195 Modeling and Control of Robots, demonstrating his commitment to both foundational and advanced robotics education.