Meng-Tse Lee
Papers
1
Total Citations
22
H-Index
1
About
Dr. Meng-Tse Lee is a distinguished researcher in robotics and multi-agent systems, with a primary focus on mission planning, swarm coordination, and optimization under real-world constraints. His most cited work, "A Hybrid Tabu Search and 2-opt Path Programming for Mission Route Planning of Multiple Robots under Range Limitations" (2020, 22 citations), addresses a critical challenge in deploying unmanned vehicle swarms: how to efficiently plan routes for multiple robots when each unit has limited battery power or operational range. By integrating tabu search with 2-opt local optimization, Dr. Lee developed a hybrid algorithm that significantly improves mission coverage and resource allocation for large-scale tasks. This contribution is vital for accelerating performance in applications such as search-and-rescue, environmental monitoring, and logistics. His research demonstrates how intelligent path programming can overcome the inherent limitations of single-vehicle systems, enabling swarms to tackle complex, expansive missions. Dr. Lee’s work is highly regarded for its practical impact on autonomous systems, offering scalable solutions that bridge theoretical optimization and real-world robotics deployment.
Research Focus
Key Achievements
Top Papers
- 1