Cong Hoang Quach

Papers

Total Citations

286

H-Index

About

Dr. Cong Hoang Quach is a leading researcher in autonomous robotics and intelligent control systems, with a primary focus on path planning, sensor fusion, and real-time navigation. His most influential contribution is the development of an enhanced discrete particle swarm optimization (DPSO) algorithm for UAV path planning, specifically designed for vision-based surface inspection. This seminal work, published in 2017, has garnered over 274 citations, establishing a foundational approach for optimizing autonomous aerial inspection routes. Dr. Quach has also advanced the field of multisensor perception, proposing a novel data fusion framework that integrates two depth cameras and LiDAR to achieve reliable 3D obstacle avoidance for mobile robots. His earlier work on tele-guidance systems introduced a fuzzy-based secondary controller to mitigate the uncertainties of Internet-based communication, enabling more robust remote robot operation. Through these contributions, Dr. Quach has significantly improved the autonomy, safety, and reliability of unmanned systems operating in complex, real-world environments, making his research essential reading for engineers and scientists working in robotics, computer vision, and intelligent control.