Dongmyeong Lee
Papers
2
Total Citations
13
H-Index
2
About
Dongmyeong Lee is a rising researcher in mobile robotics and autonomous navigation, with a focused expertise in multi-objective and multi-directional path planning. His work addresses a critical challenge in modern robotics: enabling robots to efficiently navigate complex environments while balancing competing objectives, such as minimizing travel time, energy consumption, and risk. Lee’s most notable contribution is the development of the “Informable Multi-Objective and Multi-Directional RRT* System,” an anytime iterative algorithm that concurrently solves multi-objective path planning problems. This system is particularly impactful for real-world applications like mobility-as-a-service, robotic inspection, and electric vehicle charging route optimization. His 2022 paper on this system has garnered 8 citations, while a follow-up 2023 publication has already received 5 citations, demonstrating growing recognition in the field. By extending the classic RRT* algorithm to handle multiple destinations and objectives simultaneously, Lee provides a practical, scalable solution for autonomous systems that must adapt to dynamic constraints. His work bridges theoretical planning algorithms with applied robotics, making him a promising voice in the next generation of intelligent navigation systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2