Mao Pang
Papers
1
Total Citations
19
H-Index
1
About
Mao Pang is a rising innovator in the field of tactile sensing and intelligent human-machine interfaces. His research centers on developing high-performance, biomimetic tactile sensors that replicate the spatiotemporal resolution of human skin, with a particular focus on piezoresistive sensor arrays and their integration with machine learning for advanced pattern recognition. His most-cited work, the "Artificial Tactile Sensory Finger for Contact Pattern Identification Based on High Spatiotemporal Piezoresistive Sensor Array" (2024), has already garnered 19 citations, signaling its immediate impact. In this study, Pang engineered a sensor array that mimics the dense distribution of human tactile receptors, enabling the device to identify complex contact patterns—a critical step toward giving robots and prosthetics a true sense of touch. By bridging the gap between physical sensor hardware and intelligent algorithms, his contributions are paving the way for next-generation applications in robotic dexterity, medical diagnostics, and immersive virtual reality. As a young researcher, Pang’s work stands out for its elegant fusion of materials science and computational intelligence, promising to redefine how machines perceive and interact with the physical world.
Research Focus
Key Achievements
Top Papers
- 1