Qianda Luo
Papers
1
Total Citations
17
H-Index
1
About
Qianda Luo is a pioneering researcher in autonomous marine systems, specializing in multi-agent coordination, adaptive control, and intelligent obstacle avoidance for unmanned surface vehicles (USVs). Their most impactful work, a 2024 study on "Multi-unmanned surface vehicle model-free sliding mode predictive adaptive formation control," introduces a novel framework that integrates model-free sliding mode predictive control with extended state observers to enable robust formation navigation and collision avoidance in complex, dynamic marine environments. This approach, already garnering 17 citations, addresses critical challenges in real-world maritime operations, such as unpredictable currents and obstacles, without relying on precise system models. Luo's contributions advance the frontier of autonomous swarm robotics, offering scalable solutions for applications in ocean exploration, environmental monitoring, and naval defense. By combining sliding mode control with predictive adaptation, their work enhances stability and safety in multi-USV systems, marking a significant step toward fully autonomous maritime fleets.
Research Focus
Key Achievements
Top Papers
- 1