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About

The Shandong Institute of Automation (SIA) stands as one of China's premier research institutions in robotics, intelligent control, and automation, operating under the Chinese Academy of Sciences. With a research portfolio spanning bioinspired robotics, intelligent control systems, human-robot interaction, and autonomous vehicles, SIA has established itself as a globally recognized center for cutting-edge robotics innovation. Among SIA's most celebrated contributions is its pioneering work in biomimetic robotics. The institute's development of biologically inspired robotic fish and amphibious platforms — drawing on locomotion principles from aquatic and terrestrial animals — has become foundational in the field, garnering hundreds of citations and influencing generations of subsequent designs worldwide. Complementing this, SIA's extensive survey work on Central Pattern Generator (CPG)-inspired locomotion control has become an essential reference for researchers designing agile, neurologically motivated robot motion systems. The institute's expertise extends powerfully into intelligent control theory, with landmark contributions in terminal sliding mode control, adaptive backstepping methods for nonholonomic mobile robots, and neural network-based optimization for redundant and multi-robot systems. SIA researchers have also made notable advances in human-robot interaction, developing sophisticated speech and facial emotion recognition systems that leverage deep learning architectures to enable more natural, responsive robotic companions. Across medical robotics, underwater glider development, 3D scene reconstruction, and manufacturing automation, SIA's breadth is remarkable. With a publication record accumulating thousands of citations globally, the institute attracts researchers and engineers eager to tackle real-world automation challenges. Prospective students and collaborators will find in SIA an intellectually vibrant environment where biological inspiration, rigorous control theory, and practical engineering converge to define the future of intelligent systems.