Yonghong Kuang
Papers
1
Total Citations
3
H-Index
1
About
Yonghong Kuang is a leading researcher in capacitive sensor interface circuits and robotic tactile sensing, with a focus on bio-inspired neural signal processing. His most notable contribution is the development of a fully dynamic, event-driven capacitive sensor interface based on self-reconfigurable SAR capacitance-to-digital conversion, published in 2024. This work addresses a long-standing challenge in high-density robotic electronic skins (e-skins): overcoming limitations in routing complexity, signal latency, and power consumption. By mimicking neural signal processing, Kuang’s design enables scalable, efficient tactile sensing for covering robots entirely with e-skins—a goal that has eluded researchers for decades. His paper has already garnered 3 citations, reflecting its immediate impact in the field. Kuang’s innovations are pivotal for advancing humanoid robotics, prosthetics, and human-machine interaction, offering a pathway to more responsive and energy-efficient tactile systems. His work stands out for its elegant integration of circuit design and neuroscience principles, making him a key figure in the next generation of intelligent sensing technologies.
Research Focus
Key Achievements
Top Papers
- 1