Guangde Li
Papers
2
Total Citations
16
H-Index
2
About
Guangde Li is a rising innovator at the intersection of optical fiber sensing and intelligent robotics, with a primary focus on tactile perception and gesture recognition. His most cited work introduces a groundbreaking reflective optical tactile sensor that leverages fiber specklegram analysis to identify contact positions with high precision. By embedding single-mode and multimode fibers within a 3D-printed elastic probe, Li’s design enables a flexible, cost-effective solution for robotic tactile feedback—a critical step toward more dexterous machines. Building on this foundation, his recent system for automatic robotic hand gesture recognition integrates convolutional neural networks with a Raspberry Pi, using specklegrams from five fiber structures to mimic bionic neurons. This work, already garnering 5 citations shortly after its 2025 publication, demonstrates Li’s ability to bridge hardware innovation with real-time AI processing. With over 16 citations across his key papers, Li is establishing himself as a key contributor to smart sensing technologies, offering scalable pathways for human-robot interaction and prosthetics. His research holds promise for advancing autonomous systems that require nuanced touch and motion awareness.
Research Focus
Key Achievements
Top Papers
- 1
- 2