Mingjie Lao
Papers
1
Total Citations
35
H-Index
1
About
Mingjie Lao is a leading figure in aerial robotics and autonomous drone systems, with a focus on high-precision multi-UAV coordination for real-world applications. His most cited work, "High-Precision Multi-UAV Teaming for the First Outdoor Night Show in Singapore" (2018, 35 citations), showcases his pioneering contributions to the development of robust, safe, and scalable formation control algorithms. This research not only advanced the theoretical foundations of multi-agent systems but also demonstrated their practical viability in large-scale entertainment robotics, culminating in a landmark public performance. Lao’s work addresses critical challenges in automation, including collision avoidance, trajectory planning, and real-time synchronization under dynamic outdoor conditions. By bridging the gap between laboratory research and industrial deployment, he has helped transform UAVs from experimental platforms into reliable tools for entertainment, surveillance, and logistics. His achievements underscore a commitment to both technical rigor and impactful innovation, inspiring future work in autonomous swarm intelligence and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1