Geng Kuan
Papers
1
Total Citations
39
H-Index
1
About
Geng Kuan is a leading researcher in electronic nose (e-nose) technology and bio-inspired sensory systems, with a focus on bridging statistical analysis and robotic applications. His seminal work, "E-Nose Design and Structures from Statistical Analysis to Application in Robotic: A Comprehensive Review" (2023, 39 citations), provides a critical synthesis of four decades of olfactory system research, tracing the evolution from early biological inspiration to modern e-nose architectures. Kuan’s major contribution lies in systematically mapping the transition from fundamental sensor design to practical deployment in robotics, addressing key challenges in pattern recognition, data processing, and environmental adaptability. His review has become a foundational resource for researchers seeking to integrate artificial olfaction into autonomous systems, influencing fields from environmental monitoring to medical diagnostics. By highlighting the untapped potential of e-nose applications, Kuan has opened new avenues for interdisciplinary innovation, positioning his work as a cornerstone for future advances in machine olfaction and human-robot interaction.
Research Focus
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Top Papers
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