Xingxing Wu

Papers

Total Citations

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About

Xingxing Wu is a leading researcher in sustainable manufacturing and cloud-based industrial automation, whose work bridges the gap between intelligent robotics and environmentally conscious production systems. His primary research focuses on developing unified modeling frameworks that enable industrial robots to operate within cloud manufacturing environments while optimizing for sustainability. Wu’s most significant contribution is his dynamic and unified modeling approach for sustainable manufacturing capability in industrial robots, introduced in his highly cited 2017 paper (25 citations). This work provides a groundbreaking method for representing, assessing, and optimizing the environmental and economic performance of robotic systems in real-time, enabling manufacturers to reduce waste and energy consumption without sacrificing productivity. His earlier foundational study (2015, 5 citations) established the core principles of this unified capability model, laying the groundwork for subsequent advances. Wu’s research is particularly notable for its practical applicability, offering a scalable solution for integrating sustainability metrics into Industry 4.0 frameworks. His work has become essential reading for researchers and engineers seeking to align robotic automation with global sustainability goals, and continues to influence the development of intelligent, eco-efficient manufacturing systems.