Cunjun Li

Zhoushan Institute of Calibration for Quality and Technology Supervision

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About

Cunjun Li is a researcher at the forefront of intelligent robotics and manufacturing automation, with a focus on bio-inspired underwater systems and advanced computer vision. His work bridges the gap between biological principles and artificial intelligence to solve complex engineering challenges. Li’s most notable contribution is the development of an intelligent control strategy for robotic manta rays, integrating Central Pattern Generators (CPG) with Deep Reinforcement Learning to achieve efficient, autonomous swimming in unpredictable underwater environments—a significant leap in biomimetic robotics. In manufacturing, he pioneered a weld seam detection method using a Rotational Region Proposal Network, moving beyond traditional edge-based techniques to robustly identify seams under varying illumination and weld types. While his publications are recent, with citations growing from 3 to 4, their impact is already evident in advancing both underwater exploration and industrial automation. Li’s work exemplifies how combining neural control with deep learning can create adaptive, real-world solutions, making him a promising figure in robotics and intelligent systems.