Papers
13
Total Citations
222
H-Index
7
About
Kooktae Lee is a robotics researcher whose work spans mobile robot kinematics, autonomous navigation, and multi-agent exploration systems. He first established his reputation through a sustained focus on odometry calibration for mobile robots, developing rigorous methods to correct systematic kinematic errors in both car-like and two-wheeled differential drive platforms. His 2010 paper on kinematic parameter calibration for car-like mobile robots has accumulated 54 citations, with companion works from 2008 and 2011 further cementing his influence in precision pose estimation — a foundational challenge in autonomous vehicle control. His 2006 contribution on car parking control using trajectory tracking addressed the nonholonomic constraints inherent to vehicle motion, anticipating commercial developments in parking assist technology that would follow years later. More recently, Lee has pivoted toward theoretically sophisticated problems in autonomous exploration, applying optimal transport theory to ergodic coverage planning for single and multi-agent robotic systems. These works, published between 2018 and 2021, tackle real-world challenges including disaster response and energy-constrained decentralized exploration. His 2025 work on tunnel inspection robotics signals a growing interest in infrastructure applications. Across more than two decades of research, Lee has consistently bridged rigorous mathematical formulation with practical autonomous systems engineering.
Research Focus
Key Achievements
Top Papers
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- 4Car parking control using a trajectory tracking controller34 citations · 2006
- 5Receding-Horizon Ergodic Exploration Planning using Optimal Transport Theory15 citations · 2020
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- 7Receding-Horizon Multi-Objective Optimization for Disaster Response11 citations · 2018
- 8Odometry calibration of a car-like mobile robot5 citations · 2007
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- 10The Use of Robotics in Tunnel Inspection and Maintenance3 citations · 2025