Ruiqin Guo

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About

Dr. Ruiqin Guo is a researcher specializing in optimal shape design for autonomous underwater vehicles (AUVs) and robotic-assisted medical systems. Their most significant contribution lies in advancing AUV hydrodynamics through multi-objective optimization, as demonstrated in their highly cited 2019 paper "Optimal shape design of an autonomous underwater vehicle based on multi-objective particle swarm optimization" (23 citations). This work pioneered the application of particle swarm optimization to simultaneously improve AUV drag reduction and maneuverability, setting a benchmark for computational design in marine robotics. Dr. Guo further explored evolutionary algorithms for AUV shape optimization using gene expression programming (2018). In the biomedical domain, they contributed to precision medicine with a robot-assisted dental implantation system (2022), showcasing cross-disciplinary innovation. With a citation impact concentrated in AUV design, Dr. Guo’s research bridges computational optimization and practical engineering, offering foundational methods for next-generation underwater vehicles. Their work is particularly valuable for students and researchers in marine robotics, evolutionary computation, and medical robotics, providing a clear pathway from algorithmic development to real-world application.