Muquan Wu
Papers
2
Total Citations
16
H-Index
2
About
Muquan Wu is a leading researcher at the intersection of fusion energy engineering and intelligent robotics, with a primary focus on cognitive digital twins (CDTs) and structural simulation for extreme environments. His most impactful work introduces a surrogate model-based cognitive digital twin framework for smart remote maintenance of fusion reactors, enabling real-time monitoring and predictive control of complex robotic systems in hazardous settings. This contribution, published in 2024 and already garnering 13 citations, addresses a critical challenge in safeguarding fusion energy devices like CFETR. Wu further advances the field through his research on deformation prediction for multi-purpose overloaded robots, employing real-time structural simulators to enhance operational accuracy and safety. His work is notable for bridging the gap between digital twin theory and practical fusion maintenance, offering scalable solutions for next-generation energy infrastructure. With a rapidly growing citation record, Wu’s research is shaping the future of autonomous maintenance in nuclear fusion, demonstrating how intelligent robotics can ensure the stability and security of cutting-edge energy systems. His achievements mark him as a rising innovator in applied cyber-physical systems.
Research Focus
Key Achievements
Top Papers
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