Tongtong Kang

Shanxi University, Xi’an University of Posts and Telecommunications

Papers

Total Citations

116

H-Index

About

Tongtong Kang is a pioneering researcher at the intersection of intelligent robotics and biomedical engineering, whose work bridges adaptive control theory with next-generation wearable technologies. Her most impactful contribution is the landmark 2022 review on flexible wearable sensor devices for biomedical applications, which has garnered 93 citations and serves as a foundational resource for researchers developing non-invasive health monitoring systems. This comprehensive synthesis integrates biomedicine, materials science, and communication technology, establishing a roadmap for flexible sensors in clinical and home-care settings. In the domain of robotics, Kang has made significant strides in adaptive control for manipulator systems, notably developing a neural network-based global stability control scheme (21 citations) that addresses time-varying output constraints—a critical challenge in precision automation. Her subsequent work on type-2 fuzzy adaptive control further advances robust performance in uncertain environments. Through these contributions, Kang demonstrates a rare ability to translate complex control theory into practical biomedical applications, positioning her as a key figure in the evolution of intelligent, constraint-aware robotic systems and wearable health technologies.