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Donghua University has established itself as a dynamic research powerhouse at the intersection of advanced materials, intelligent sensing, and robotics, earning international recognition through a portfolio of highly cited, transformative publications. The university's researchers have made extraordinary contributions to the development of artificial ionic skins, biomimetic hydrogels, and flexible electronics, with their 2017 bioinspired mineral hydrogel paper accumulating over 1,000 citations and setting a benchmark for self-healable, pressure-sensitive materials in soft robotics and wearable intelligence. A defining strength of Donghua's research identity lies in its ability to bridge materials science and robotics engineering. Investigators have pioneered fatigue-resistant, self-healing ionic elastomers and mechanically robust conductive hydrogels that replicate human skin's sensory and adaptive properties—capabilities fundamental to next-generation soft robots and bioelectronic interfaces. Their work on origami-inspired graphene actuators, triboelectric nanogenerators, and MXene-coated smart fabrics further demonstrates an impressive command of multifunctional, energy-harvesting wearable systems. Beyond materials, the university contributes meaningfully to classical and contemporary robotics challenges. Foundational work on time-optimal, jerk-continuous trajectory planning for robot manipulators and improved ant colony algorithms for path planning has been widely adopted by the robotics community, while more recent reinforcement learning approaches to human-robot collaboration in assembly contexts signal Donghua's forward-looking engagement with AI-driven automation. With a combined citation count exceeding 5,000 across its top publications, Donghua University represents a compelling destination for researchers and students passionate about smart materials, wearable robotics, and intelligent sensing systems. Collaborators will find a community uniquely equipped to translate cutting-edge material innovations into real-world robotic and healthcare applications.