Speaker Prof. Gyunghoon Park
(School of Electrical and Computer Engineering, University of Seoul)
Date｜Time Wednesday, November 19, 2025 | 9:00 AM
Place Room 204, Building 133
Abstract
In this tutorial, we overview the basic of Lagrangian mechanics that explains dynamic behavior of a class of mechanical systems, particularly from a perspective of non-physicist. To this end, the tutorial will begin with simple examples to understand the key and benefits of the Lagrangian mechanics compared to the Newtonian mechanics (where the latter is usually more familiar than the former to non-physicists). We then generalize the discussion into a larger class of systems (e.g., those having constraints) by utilizing the concept of the calculus of variations. Further discussion will be made in various directions not only for modelling of complicated systems (e.g., multi-joint robot) but also for linking important notions in optimal control theory and/or optimization to the observations from Lagrangian mechanics. The tutorial ends up with a short introduction to possible applications of Lagrangian mechanics in control theory and/or machine learning.
Biography
Gyunghoon Park received the B.S. degree from the School of Electrical and Computer Engineering, Sungkyunkwan University, in 2011, and the M.S. and Ph.D. degrees from the School of Electrical Engineering and Computer Science, Seoul National University, in 2013 and 2018, respectively. From 2018 to 2019, he was a Postdoctoral Researcher with the Automation and System Research Institute, Seoul National University. He also held a postdoctoral research position with the Center for Intelligent and Interactive Robotics, Korea Institute of Science and Technology, until 2021. Since 2021, he has been with the University of Seoul where he is currently an Associate Professor. His research interests include theory of robust/nonlinear/optimal/multi-objective control and application to robotics and mobility, as well as security of robot systems.
