Yizhong Luan

Shandong University of Science and Technology, Shandong University

Papers

Total Citations

H-Index

About

Yizhong Luan is a researcher whose work bridges robotics, structural dynamics, and intelligent sensor systems. His key research areas include wearable wireless body sensor networks, industrial robot arm dynamics, and adaptive robotic welding systems. Luan's major contributions are exemplified by his most-cited paper, "Dynamical attitude configuration with wearable wireless body sensor networks through beetle antennae search strategy" (2020, 12 citations), where he introduced a novel bio-inspired optimization algorithm to enhance sensor-based attitude control—a method that has drawn attention for its efficiency in real-time applications. He further advanced the field with "Structural Dynamics Simulation Analysis of Industrial Robot Arm Based on Kane Method" (2021, 4 citations), addressing stability and simulation challenges in robotic arm dynamics by applying Kane's method to improve operational fidelity. Additionally, his work on "Design Method of Robot Welding Workstation Based on Adaptive Planning" (2020, 2 citations) showcases his focus on practical, adaptive solutions for manufacturing automation. While his citation counts are modest, Luan's innovative use of nature-inspired algorithms and rigorous dynamic modeling demonstrates a commitment to solving complex engineering problems, making his research a valuable foundation for students and researchers exploring intelligent robotics and sensor integration.