Chunliang Yu

Papers

Total Citations

H-Index

About

Chunliang Yu is a researcher specializing in the design, modeling, and autonomous control of underwater robotic systems. His primary contributions lie in advancing the maneuverability and intelligence of Autonomous Underwater Vehicles (AUVs), with a particular focus on hydrodynamic modeling and real-time obstacle avoidance. Yu’s most cited work introduces a novel AUV with a negative-lift profile, for which he developed a comprehensive hydrodynamics model to evaluate maneuverability and stability. This model serves as the foundation for designing model-based motion controllers that significantly reduce experimental time and costs. His research has practical implications for reducing the time and expense of field trials. In related work, Yu has also addressed the critical challenge of real-time obstacle avoidance by implementing the artificial potential field method within a Robot Operating System (ROS) framework, enhancing the autonomous navigation capabilities of underwater robots. With a combined citation count of six across his top papers, Yu is establishing himself as an emerging voice in the field, contributing to the next generation of more agile, intelligent, and cost-effective underwater exploration platforms.