Max Robotics — Global Service Robot Directory + US Certification

About

Dr. Jinseok Lee is a pioneering researcher at the intersection of robotics and biomedical sensing, whose work bridges autonomous navigation and non-contact physiological monitoring. His early contributions to mobile robotics tackled a fundamental challenge in potential field methods—the local minima trap caused by symmetrically aligned robot-obstacle-goal configurations (SAROG). By introducing random force algorithms, he developed novel strategies to escape these traps, with his 2010 and 2011 papers accumulating 22 and 26 citations respectively, establishing foundational techniques for more robust robot path planning. More recently, Dr. Lee has pioneered the integration of robotics with remote photoplethysmography (PPGI), enabling real-time, camera-based heart rate estimation without wearable sensors. His 2020 work on a Turtlebot-assisted system, which combines plane-orthogonal-to-skin (POS) signal extraction with a finite state machine for motion artifact rejection, achieved 14 citations. This culminated in his 2022 study on real-time mobile imaging PPGI (16 citations), where he mounted PPGI sensors on a robot for active, automated health monitoring. Dr. Lee’s unique ability to fuse robotic autonomy with biomedical signal processing opens new possibilities for telemedicine, elder care, and human-robot interaction, making him a notable figure in both fields.