[Abstract]

At present, quadrupedal robots represent some of the most robust legged platforms for practical deployment, with control architectures increasingly capable of navigating intricate locomotion challenges in unstructured environments. Reinforcement Learning (RL) has emerged as a primary catalyst for these advancements, facilitating a synergy between high-performance agility and operational safety. This presentation delineates the evolution of quadrupedal control systems, with a particular focus on state-of-the-art AI-driven methodologies. Furthermore, I will highlight the specific research milestones and technological contributions pioneered at KAIST.

[Biography]

Dr. Jemin Hwangbo is an associate professor at KAIST. He holds a Ph.D. and a master’s degree from ETH Zurich, and a bachelor’s degree from the University of Toronto. His research interests include legged robotics and autonomous robot navigation. He recently founded Raion Robotics Inc., a company dedicated to advancing legged robotics, particularly quadrupedal robots.