Baichuan Shan
Papers
3
Total Citations
33
H-Index
3
About
Baichuan Shan is a rising researcher at the forefront of self-powered sensing and intelligent material identification, with a focus on triboelectric nanogenerators (TENGs) and thermoelectric energy harvesting. His work addresses critical challenges in underwater robotics and artificial intelligence systems. In his most-cited paper (2023, 19 citations), Shan developed a self-powered sensor that simultaneously detects slip state and pressure for underwater actuators, leveraging TENG technology to eliminate the need for external power sources—a breakthrough for autonomous underwater vehicles and soft robotics. A related study (9 citations) further refines this approach, demonstrating robust performance in aquatic environments. Shan also pioneered a novel material identification method using micro thermoelectric generators (2023, 5 citations), enabling AI systems and smart skins to distinguish materials based on thermal conductivity differences. This innovation has direct applications in robotic tactile sensing and object recognition. With cumulative citations already approaching 40 in just two years, Shan’s work is gaining rapid recognition for bridging energy harvesting, sensing, and AI. His contributions are laying the groundwork for next-generation autonomous systems that are both energy-autonomous and context-aware.
Research Focus
Key Achievements
Top Papers
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