Papers
3
Total Citations
286
H-Index
3
About
Xuechuan Shan is a leading researcher at the intersection of artificial intelligence, soft robotics, and self-powered sensor systems. His work centers on developing intelligent, interactive robotic platforms for emerging applications in industrial automation and virtual commerce. Shan’s major contributions include the creation of smart soft robotic manipulators integrated with triboelectric nanogenerators (TENGs) and lead zirconate titanate (PZT) thin films, enabling both tactile and haptic feedback for immersive human-machine interfaces. His most-cited paper, "Artificial Intelligence of Things (AIoT) Enabled Virtual Shop Applications Using Self‐Powered Sensor Enhanced Soft Robotic Manipulator," has garnered 269 citations, highlighting its influence in advancing digital-twin-based remote interaction systems. Additionally, Shan has pioneered a haptic-feedback ring for virtual reality experiences, further demonstrating his commitment to bridging the physical and digital worlds. His work is notable for combining machine learning algorithms with IoT modules to fuse multi-sensor data, creating robust, autonomous robotic systems. Through these innovations, Xuechuan Shan is shaping the future of AIoT-enabled automation and immersive user experiences.
Research Focus
Key Achievements
Top Papers
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