Jan Peters, Professor for Intelligent Autonomous Systems at the Computer Science Department of the Technische Universitaet Darmstadt, will explore the core role of inductive biases in robot learning, drawing from insights in control theory, neuroscience, and machine learning. He will also discuss visions for future robot learning systems that integrate structured biases with modern data-driven methods, enabling scalable autonomy in real-world environments.
