I am Jaemin Lee.

Jaemin Lee is a Postdoctoral Scholar at Caltech's mechanical and civil engineering department, under the guidance of Dr. Aaron Ames. His research focuses on planning and safety-critical control for hybrid robots, including hierarchical layers. He received his Ph.D. in Mechanical Engineering from the University of Texas at Austin in 2022, where he worked with Dr. Luis Sentis and Dr. Efstathios Bakolas on planning and control strategies for multi-contact robots. During his Ph.D., he extended his research accomplishments to hierarchical safety-critical control for multi-layered robotic systems. Prior to this, he earned his M.S. degree from Seoul National University, where he worked with Dr. Jaeheung Park.  He was a visiting student at Istituto Italiano di Tecnologia (IIT) with a fellowship from Korea National Research Foundation in 2011. He worked as a research scientist at the Korea Institute of Science and Technology (KIST) from 2013 to 2016, where he worked with Dr. Keehoon Kim to study control algorithms for interactive robots. 

Jaemin's research interests include both theoretical analysis and verification using real robotic systems, with a focus on hybrid dynamical systems. He aims to develop safe and productive robots that can interact with humans or other agents in unstructured environments. To this end, he has developed fast and efficient reachability tools and safety-critical control strategies for highly constrained nonlinear hybrid dynamical systems. He is interested in integrating complex, layered structures from high-level planning to low-level feedback control with safety verification, taking into account model discrepancy. Currently, he is working on synthesizing control barrier functions of reduced-order and full-body model robots. He is also extending the reachability tools and control barrier functions for mutually interactive heterogeneous robots and is planning to devise an integrated framework for completing missions by collaborating with heterogeneous dynamical robots, such as biped robots, quadruped robots, aerial manipulators, and mobile manipulators. 

To achieve his research goals, Jaemin is devising more efficient algorithms for learning hybrid dynamical models and control barrier functions using data-driven methods. His research has both theoretical and practical applications, and he aims to make significant contributions to the field of robotics by developing safe, efficient, and productive robotic systems that can operate in unstructured environments. 


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