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About

Jiangnan University has established itself as a dynamic and multidisciplinary research powerhouse, weaving together expertise in robotics, intelligent control, smart materials, and AI-driven applications to address some of the most pressing challenges in modern science and engineering. With a research portfolio spanning biomimetic robotics, advanced sensing technologies, and iterative learning control, the institution has earned considerable international recognition, as evidenced by a body of work accumulating thousands of citations across high-impact venues. The university's contributions to robotics are both foundational and forward-looking. Its pioneering 2004 work on biomimetic robotic fish — now cited over 450 times — helped define the field of underwater bio-inspired locomotion, and recent advances in underwater soft robots and soft gripper tactile sensing demonstrate a sustained commitment to this domain. Researchers have developed sophisticated flexible sensors, ionic hydrogels, and triboelectric materials that bridge soft robotics with wearable electronics, creating intelligent systems capable of human-motion detection, robotic grasping, and health monitoring. Jiangnan's control systems group has made equally significant strides, advancing iterative learning control (ILC) theory for real-world complexities including nonuniform trial lengths, communication constraints, and fault-tolerant operation — work that has attracted substantial citations and shaped modern approaches to repetitive process optimization. The university's interdisciplinary character is further reflected in its application of AI and big data to the food industry, 4D printing, and smart textile displays, revealing a culture that actively transfers fundamental robotics and materials research into transformative industrial solutions. Prospective students and collaborators will find in Jiangnan University a vibrant environment where rigorous theoretical work meets innovative engineering, supported by well-resourced laboratories pushing the boundaries of soft robotics, intelligent sensing, and autonomous systems.