Jiaqi Shang

Papers

Total Citations

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About

Jiaqi Shang is an emerging researcher specializing in autonomous underwater vehicle (AUV) navigation and deep-sea robotics, with a focus on intelligent path planning algorithms for complex underwater environments. Their most notable work, "Deep-Sea A*+," introduces a sophisticated hybrid path planning framework that combines an enhanced A* algorithm with the Dynamic Window Approach, specifically engineered to address the formidable challenges posed by extreme deep-sea conditions. This contribution represents a meaningful advance in enabling autonomous robots to navigate reliably in environments where human operation is impractical or impossible — a critical capability as humanity increasingly looks to ocean resources to meet growing global demands. Shang's research sits at the intersection of robotics, artificial intelligence, and marine engineering, addressing real-world operational needs driven by the depletion of terrestrial resources. Although still early in their academic career, their 2024 publication has already begun attracting scholarly attention, accumulating citations that signal growing recognition within the underwater robotics community. For students and researchers interested in autonomous systems, marine robotics, or AI-driven navigation, Shang's work offers a compelling and technically rigorous entry point into one of robotics' most demanding frontiers.