Shangze Chen

Harbin Engineering University, Kagawa University

Papers

Total Citations

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About

Shangze Chen is a researcher specializing in underwater robotics, with a primary focus on vision-based navigation and hydrodynamic propulsion systems. His work addresses critical challenges in autonomous underwater vehicle (AUV) operation, particularly in perception and locomotion. Chen’s most cited paper, “Binocular vision-based underwater ranging methods” (2017), introduces a novel calibration technique for stereo vision in aquatic environments, enabling precise depth estimation essential for obstacle avoidance and object manipulation by underwater robots. This contribution, with 16 citations, has supported advancements in real-time 3D mapping for subsea applications. In complementary work, “Hydrodynamic analysis of water-jet thrusters for the spherical underwater robot (SUR III)” (2017), Chen investigates nozzle design optimization to maximize reaction thrust, offering computational fluid dynamics insights that enhance propulsion efficiency. His research bridges computer vision and fluid mechanics, providing practical solutions for robust underwater navigation and energy-efficient movement. Chen’s contributions are particularly notable for their direct applicability to compact, agile platforms like the SUR III, positioning him as a key figure in the development of intelligent, high-performance underwater robotic systems.