Max Robotics — Global Service Robot Directory + US Certification

About

Taeyoung Lee’s research centers on autonomous aerial robotics, with a particular focus on enabling intelligent exploration and mapping in unknown, three-dimensional environments. His major contributions lie in the development of probabilistic frameworks for autonomous navigation, where he has pioneered the integration of Bayesian occupancy grid mapping with stochastic motion planning. This work allows quadrotors and other flying robots to not only perceive their surroundings but to actively and optimally reduce map uncertainty during flight. His 2018 paper on autonomous 3D mapping using exact occupancy probabilities (21 citations) and his 2016 work on expected information gain (17 citations) are foundational, demonstrating how robots can intelligently decide where to go next to gather the most useful data. Lee has also explored bioinspired flight, notably in a 2019 study (9 citations) that validated unsteady lift mechanisms for flapping-wing vehicles in the thin atmosphere of Mars, bridging robotics with planetary science. His research on multi-robot patrol and exploration of structured indoor environments further extends his impact, showcasing practical applications for teams of flying robots. Through these contributions, Lee is advancing the frontier of truly autonomous aerial systems capable of navigating and understanding complex, unknown spaces.