Kai Liang

Jilin University of Chemical Technology, Case Western Reserve University

Papers

Total Citations

H-Index

About

Kai Liang’s research focuses on the intersection of intelligent robotics, embedded control systems, and medical robot safety. His work spans from foundational service robot design to advanced fault detection in critical applications. Liang’s major contributions include developing a PLC-based intelligent shopping robot to improve retail navigation efficiency, and exploring key Internet+ technologies to enhance service robot adaptability and performance. Notably, his research on adverse and anomalous event detection in medical robots—specifically for small animal biopsy systems—addresses a critical safety concern in clinical robotics. Liang has also advanced embedded system reliability through innovative fault localization techniques that use controller structure and probabilistic models to automatically identify faulty code in simulation. While his citation counts (2-3 per paper) reflect a developing impact, his work demonstrates a clear trajectory from practical robot design to high-stakes medical applications. His research is particularly relevant for students and engineers working on embedded control, service robotics, and medical device safety, offering practical approaches to improving robot intelligence and system robustness.