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About

Song Ai-guo is a pioneering researcher in rehabilitation and telepresence robotics, with a focus on human-robot interaction and assistive technologies. His most cited work, "Scenario interaction system of rehabilitation training robot based on Unity3D and Kinect" (2017, 10 citations), demonstrates his innovative integration of gaming engines and motion-sensing hardware to create immersive, interactive rehabilitation environments—a contribution that bridges virtual reality with physical therapy. He has also advanced vibration control in flexible robots through magneto-rheological fluid dampers (2010, 5 citations), addressing critical stability challenges in robotic systems. A significant portion of his research centers on force telepresence telerobotics, where he has authored comprehensive reviews (2012–2013) that trace the field's history and analyze core techniques such as sensing and force feedback. These works establish him as a key synthesizer of knowledge in human-robot interaction, a frontier he identifies as central to modern robotics. His contributions have practical implications for nuclear detection and remote manipulation, and his work continues to inspire students and researchers exploring the intersection of haptics, rehabilitation, and interactive robotic systems.