Quanling He

Papers

Total Citations

H-Index

About

Quanling He is a leading researcher in intelligent robotics and autonomous systems, with a focus on enhancing the efficiency and precision of robotic motion in complex environments. His major contributions lie in the fusion of path-planning algorithms and the integration of digital twin technology for real-time monitoring. He is best known for developing the IA-DWA algorithm, which combines the A* global path planner with the Dynamic Window Approach to enable mobile robots to find optimal collision-free paths while dynamically avoiding unknown obstacles—a breakthrough that has garnered 15 citations since its 2025 publication. In parallel, He has advanced the field of industrial parallel robotics by designing a status monitoring and positioning compensation system for digital twins, addressing the critical gap between idealized teaching-pendant data and real-world operational conditions. This work, with 10 citations, improves accuracy in high-speed applications like food packaging and parts assembly. He’s research is pivotal for next-generation autonomous navigation and smart manufacturing, bridging theoretical algorithms with practical, real-time robotic control.