Ying Kaichen

Ningbo Institute of Industrial Technology

Papers

Total Citations

H-Index

About

Ying Kaichen is a researcher advancing the field of physical human–robot interaction (pHRI), with a focus on developing more intuitive and adaptive control systems. Their key research areas include variable admittance control, human intention estimation, and fuzzy logic systems for robotics. In their most cited work, "A Human Intention Based Fuzzy Variable Admittance Control System for Physical Human–Robot Interaction" (2022), Ying introduced a novel framework that uses fuzzy logic to infer human intent during collaborative tasks, enabling robots to adjust their behavior in real time for smoother and more stable interactions. This work addresses a critical limitation in prior pHRI research, which often relied on inaccurate intention estimation or was restricted to simple point-to-point tasks. With 4 citations, this paper has already begun to influence the design of safer and more responsive robotic systems. Ying’s contributions are particularly valuable for applications in assistive robotics, rehabilitation, and industrial collaboration, where seamless human-robot teamwork is essential. Their research continues to push the boundaries of how robots understand and respond to human partners, making human-robot interaction more natural and efficient.