Lezhi Pang

Papers

Total Citations

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About

Lezhi Pang is a rising researcher at the intersection of optical sensing, bionic robotics, and artificial intelligence. His work focuses on developing intelligent systems that bridge physical perception and machine learning, with a particular emphasis on fiber-optic specklegram analysis for gesture recognition. Pang's major contribution is the creation of a pioneering system for automatic robotic hand gesture recognition, which integrates a Raspberry Pi with a convolutional neural network to interpret specklegrams from single-mode–multimode fiber structures. These fiber structures act as bionic neurons, sensing the bending of each robotic finger with remarkable precision. His most-cited paper (2025, 5 citations) demonstrates a cost-effective, real-time approach to robotic dexterity, offering a novel alternative to traditional sensor arrays. Though early in his career, Pang's work has already captured attention for its innovative fusion of photonics and deep learning, laying a foundation for advancements in human-robot interaction and prosthetics. His research holds promise for applications in assistive technology and industrial automation, marking him as a creative thinker in the field of intelligent sensing systems.