Kris Hauser is a Professor in the Department of Computer Science, the Department of Electrical and Computer Engineering, and the Department of Mechanical Science and Engineering at the University of Illinois at Urbana-Champaign. His research interests lie in robot planning and control, a field devoted to providing the decision-making capabilities needed for robots and other intelligent agents to perform complex physical tasks. His research builds upon the theoretical foundations of state space dynamics and optimality, but attempts to overcome the shortcomings of classical theory when faced the complexities of real-world systems, such as high dimensionality, uncertain dynamics, bounded computation, and integration with perception and learning. The methodologies at the foundation of this work include optimization, probabilistic methods, AI, control theory, and physics simulation, and theory is bridged with practice on real-world physical robots in the context of a diverse range of applications with social impact, including robot locomotion and manipulation, medical robots, human-operated robots, warehouse automation, and intelligent vehicles.