Papers
2
Total Citations
71
H-Index
2
About
Dasol Lee is a pioneering roboticist whose work sits at the intersection of autonomous aerial navigation and multi-vehicle mission management. His most influential contribution is the development of a direct visual servoing framework for the 2016 IROS Autonomous Drone Racing Challenge, which demonstrated how drones could navigate obstacle-dense environments through leg-by-leg planning and real-time visual feedback. This work, cited over 60 times, established a foundational approach for high-speed autonomous flight in constrained spaces. Lee further showcased his systems engineering expertise by designing a mission management system for the 2017 Mohamed Bin Zayed International Robotics Challenge (MBZIRC), where he coordinated three unmanned aerial vehicles to autonomously search, pick up, and drop 23 targets—a complex logistics task that pushed the boundaries of multi-UAV coordination. His research bridges the gap between theoretical control algorithms and practical deployment in competitive, time-critical scenarios. Lee’s achievements in these high-stakes competitions have not only advanced the field of autonomous drones but also provided a blueprint for real-world applications in aerial logistics and search-and-rescue operations.
Research Focus
Key Achievements
Top Papers
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