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Shandong University has established itself as a remarkably versatile research powerhouse at the intersection of robotics, artificial intelligence, and advanced materials science. The institution's research portfolio spans an impressive breadth — from intelligent soft materials and electronic skin to autonomous robot systems, neural network control, and neuromorphic computing — positioning it as a leading contributor to next-generation robotic and AI technologies. A defining strength of Shandong University lies in its pioneering work on bio-inspired sensing and soft robotics. Researchers have made landmark contributions in self-healing hydrogels, fatigue-resistant conducting polymer sensors, and biomimetic electronic skins capable of dynamic-static tactile perception and material cognition, work that has collectively garnered hundreds of citations and influenced wearable technology, rehabilitation robotics, and human-machine interfaces worldwide. The university's electronic skin research, integrating triboelectric-piezoresistive effects and micropyramid array architectures, represents some of the most sophisticated tactile sensing solutions available today. Beyond materials, Shandong University has demonstrated considerable depth in robot control and autonomy. Contributions to composite learning control with neural network-based friction compensation, deep reinforcement learning for robotic assembly, tensegrity structure robotics, and multi-robot collaborative 3D scene reconstruction underscore a strong systems-level robotics program. Meanwhile, work on neuromorphic devices — including memristor-based artificial synapses and bioinspired iontronic sensorimotor textiles — signals the university's forward-looking investment in brain-inspired computing architectures. With a growing body of highly cited publications across robotics, materials science, computer vision, and autonomous systems, Shandong University offers prospective students and collaborators an intellectually rich, cross-disciplinary environment where fundamental materials innovation meets real-world robotic application.