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The Shenzhen Academy of Robotics (SAR) stands at the forefront of advanced robotics research, distinguished by a remarkably broad yet cohesive portfolio spanning soft robotics, microrobotics, human-robot interaction, and intelligent sensing. Operating from one of China's most dynamic innovation hubs, SAR has cultivated a research identity defined by the seamless integration of cutting-edge materials science, bio-inspired design, and artificial intelligence to push the boundaries of what robots can perceive, feel, and do. Among SAR's most celebrated contributions is its pioneering work in soft and miniature robotics. The academy's research on magnetic multi-layer soft robots for targeted adhesion, ultrafast miniature swimmers with upstream motility, and bio-inspired transparent jellyfish robots has collectively garnered hundreds of citations, signaling significant influence on the global biomedical robotics community. Their widely cited survey on swarm microrobotics has become an essential reference for researchers navigating the path toward clinical deployment of microscale systems. Complementing this, SAR's advances in flexible piezoresistive sensors and ionic hydrogel strain sensors demonstrate deep expertise in creating the tactile intelligence that modern robots demand. SAR also excels at the human-robot interface, with notable work on dynamic hand gesture recognition, surface EMG-based exoskeleton control, and a real-time human imitation system, underscoring a commitment to making robots genuinely responsive to human intent. Their COVID-19 swab-sampling robot exemplifies how this research translates rapidly into life-saving applications. For prospective students and collaborators, SAR offers an intellectually stimulating environment where materials innovation, bio-inspired engineering, autonomous navigation, and machine learning converge. With a growing citation record exceeding 1,300 across recent publications alone, the academy represents a compelling destination for researchers eager to shape the next generation of intelligent, adaptive robotic systems.