Xuebing Peng

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About

Xuebing Peng is a leading researcher in the field of remote maintenance and robotic systems for nuclear fusion environments, with a particular focus on the safe and efficient operation of tokamak reactors. His foundational work, "Kinematic and dynamic analysis of a serial-link robot for inspection process in EAST vacuum vessel" (2012, 31 citations), established critical frameworks for deploying robots inside the extreme conditions of fusion reactors. More recently, Peng has advanced the field with his innovative 2022 study on "Neural network based visual servo for quick-change device alignment in context of fusion reactor remote maintenance." This work introduces a modified RepVGG-based visual servo method that dramatically improves the precision and speed of tool alignment—a vital capability for remote maintenance tasks. By integrating position-based visual servo control laws with real-world experimental validation, Peng’s research directly addresses the challenges of automating complex, hazardous procedures in fusion reactors. His contributions are essential for the future of fusion energy, demonstrating how intelligent robotics can enable safer, more reliable operations in environments inaccessible to humans.