Max Robotics — Global Service Robot Directory + US Certification

About

Dr. Young Sam Lee is a robotics researcher whose work bridges the gap between perception, control, and real-world application. His primary research areas include simultaneous localization and mapping (SLAM), adaptive control systems, and the practical deployment of robots in dynamic environments. Dr. Lee’s most influential contribution is his pioneering work on real-time single-camera SLAM using fiducial markers (2009, 39 citations), which introduced a robust method for online map creation and robot pose estimation via the extended Kalman filter—a foundational approach for low-cost, vision-based navigation. He has since advanced the field of robot manipulation with his development of an adaptive model-free control system using nonsingular terminal sliding-mode (2020, 23 citations), a technique that achieves high-precision motion control by canceling nonlinearities and uncertainties without requiring a detailed system model. More recently, Dr. Lee has tackled the challenge of suppressing violent sloshing flow in food serving robots (2024), demonstrating his commitment to solving practical, human-centric problems. His ongoing work on adaptive time-delay estimation error compensation (2024, 13 citations) further solidifies his reputation as a leader in creating robust, real-time control solutions for complex robotic systems.