Max Robotics — Global Service Robot Directory + US Certification

About

Xinliang Tian is a leading researcher at the intersection of marine robotics, visual perception, and intelligent control systems. His work addresses critical challenges in deep-sea exploration and autonomous underwater vehicles, with a particular focus on developing robust, adaptive robotic platforms. Tian’s most influential contribution is his 2021 study on visual information processing for deep-sea monitoring systems, which has garnered 123 citations for its innovative solution to detecting mines and objects in turbid, hazardous underwater environments—a key advancement for the safety and efficiency of deep-sea mining operations. He has also made significant strides in bio-inspired robotics, notably through his experimental work on wire-driven compliant robotic fish and the kinematic and hydrodynamic modeling of robotic fishtails. More recently, Tian has pioneered the integration of reinforcement learning with Central Pattern Generators (CPGs) to create control methods with high adaptability and robustness, as demonstrated in his 2023 and 2025 studies. His development of a wave-driven glider control system further underscores his versatility. With a growing body of work that bridges theoretical modeling and real-world training, Tian is establishing himself as a key innovator in autonomous marine systems.