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About

Shanghai University of Engineering Science (SUES) has established itself as a dynamic research institution at the crossroads of advanced robotics, intelligent systems, and smart materials—combining rigorous theoretical foundations with bold engineering innovation. Drawing together expertise spanning soft robotics, autonomous navigation, human-machine interaction, and next-generation sensing technologies, SUES has built a research identity that is both broad in scope and impressive in depth. Among the institution's most celebrated contributions is its pioneering work in soft and bio-inspired robotics. Researchers at SUES have developed legless jumping robots capable of continuous, steerable locomotion, magnetic multi-layer soft robots for targeted biomedical adhesion, and leech-inspired amphibious robots powered by triboelectric mechanisms—work that has collectively attracted hundreds of citations and earned international recognition. Their investigations into magnetic liquid metal composites and MXene-based functional materials push the boundaries of what miniature, untethered robotic systems can achieve in physiological and unstructured environments. Beyond soft robotics, SUES researchers have made notable advances in autonomous systems, contributing highly cited work on semantic SLAM for dynamic environments, graph neural network-driven multi-agent trajectory planning, and ant colony optimization for robot path planning. Their expertise in robotic manufacturing—particularly abrasive belt grinding of aero-engine components and visual seam tracking for arc welding—demonstrates a strong commitment to industrial application. The institution's interdisciplinary ethos extends to intelligent sensing, with standout contributions in self-powered pressure-strain sensors and flexible triboelectric touch pads that enable seamless human-robot interaction. With a growing portfolio exceeding 1,400 cumulative citations across flagship works, SUES represents a compelling destination for prospective students and collaborators seeking a vibrant, forward-looking research environment where materials science, robotics, and artificial intelligence converge.