Workshop on Humanoids 2025

At the Crossroads of Control:
Model-based VS Learning based Control for Humanoids

Thursday, October 2, 2025, Seoul, Korea

Beomyeong Park, IHMC (Florida Institute for Human and Machine Cognition

Beomyeong Park is a Senior Research Associate at IHMC and leads the humanoid control team of the Robotics group at IHMC. His research interests include humanoid robot locomotion, optimal control, model predictive control, and tele-operation for the humanoid robot. He recieved B.S. degrees in Mechanical Engineering from Konkuk University, South Korea in 2013, and his Ph.D. degree in intelligent convergence systems from Seoul National University, South Korea, in 2022. From 2022 to 2023, he was a Postdoctoral Researcher at Seoul National University. Since 2023, he has been working in IHMC.

Dr. Beomyeong Park participated in DARPA Robotics Challenge Finals in 2015 as operator in Team SNU, and also participated in ANA Avatar XPRIZE Finals in 2022 as project manager.

Yisoo Lee, KIST (Korea Institute of Science and Technology)

Yisoo Lee is a Principal Researcher in KIST. Yisoo Lee received the B.S. and M.S. degrees in naval architecture and ocean engineering and the Ph.D. degree in intelligent convergence systems from the Department of Intelligent Convergence Systems from Seoul National University, Seoul, South Korea, in 2008, 2010, and 2017, respectively.

 From 2017 to 2018, he was a Postdoctoral Researcher at the Seoul National University. From 2018 to 2020, he was a Postdoc with the Istituto Italiano di Tecnologia (IIT), Genoa, Italy. He is currently a Principal Researcher with the Korea Institute of Science and Technology (KIST), Seoul, South Korea. His research interests include humanoid robots, robot locomotion, manipulation, optimal control, and machine learning for robot control.

Carlos Mastalli, Hariot-Watt University & IHMC (Florida Institute for Human and Machine Cognition)

Carlos Mastalli is an Assistant Professor at Heriot-Watt University, UK, and a Research Scientist at the Florida Institute for Human & Machine Cognition (IHMC), USA. He is the Head of the Robot Motor Intelligence (RoMI) Lab and has pioneered algorithms for motor intelligence in legged robotics over the last decade. Over the years, Carlos conducted cutting-edge research in several world-leading labs, including IIT (Italy), LAAS-CNRS (France), ETH Zürich (Switzerland), and the University of Edinburgh (UK). He supports open science, building a large community around our Crocoddyl optimal control library, and currently releases Odyn—one of the most advanced optimization frameworks in the world. Carlos specializes in numerical optimization for real-time planning, control, estimation, simulation, and learning. His efforts are paving the way to advance motor intelligence in legged robots