Shunqing Zhang

Papers

Total Citations

H-Index

About

Shunqing Zhang is a leading researcher in robotics and intelligent manufacturing, with a focus on sensor fusion, human-robot collaboration, and flexible automation. His work addresses critical challenges in autonomous navigation and industrial production, where he develops innovative frameworks to enhance robot performance in dynamic environments. Zhang’s most cited paper, “An EKF-based multiple data fusion for mobile robot indoor localization” (2021, 22 citations), introduces a robust method that integrates data from multiple sensors using an Extended Kalman Filter, significantly improving localization accuracy for indoor mobile robots—a foundational contribution to autonomous navigation systems. He further advances the field with “A Cooperative Shared Control Scheme Based on Intention Recognition for Flexible Assembly Manufacturing” (2022, 9 citations), which pioneers a shared control paradigm that enables genuine collaboration between humans and robots by interpreting human intent, moving beyond simple workspace sharing to true cooperative manufacturing. Additionally, his framework for hybrid robots (2021) proposes flexible production line architectures using 6-DoF industrial robots, optimizing continuous loading tasks. With a growing citation impact, Zhang’s work is shaping the future of intelligent, adaptive robotics in industry.