Shugong Xu

Papers

Total Citations

H-Index

About

Shugong Xu is a leading researcher in robotics and intelligent manufacturing, with a focus on enhancing autonomy and human-robot collaboration. His work spans mobile robot localization, cooperative control, and flexible industrial operations. Xu’s most cited paper, “An EKF-based multiple data fusion for mobile robot indoor localization” (2021, 22 citations), introduces a multi-sensor fusion method using an Extended Kalman Filter to significantly improve navigation accuracy in indoor environments—a critical advancement for autonomous robots. In “A Cooperative Shared Control Scheme Based on Intention Recognition for Flexible Assembly Manufacturing” (2022, 9 citations), he pioneers a framework that enables true collaboration between humans and robots by recognizing human intent, moving beyond simple workspace sharing to dynamic, adaptive teamwork. His third notable work, “A framework of industrial operations for hybrid robots” (2021, 3 citations), proposes a flexible production line design using 6-DOF robots for continuous loading tasks, addressing the need for adaptable manufacturing systems. With a growing citation impact, Xu’s contributions are shaping the future of smart factories and autonomous navigation, making him a key figure in advancing practical, real-world robotics applications.