Zhu Xiao-peng

Papers

Total Citations

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About

Zhu Xiao-peng is a researcher focused on advancing robotics and manufacturing safety through innovative engineering solutions. His work spans three key areas: robotic mobility, intelligent safety systems, and automated welding technologies. In 2015, Zhu contributed to the field of climbing robotics with his paper "Design and Optimization of Magnetic Wheel for Wall Climbing Robot," which has garnered 10 citations and laid groundwork for mobile inspection systems in industrial settings. More recently, in 2024, he addressed a critical challenge in machinery safety with "A Deep Learning Method to Mitigate the Impact of Subjective Factors in Risk Estimation for Machinery Safety." This work tackles the persistent problem of inconsistent risk assessments caused by human subjectivity, proposing a deep learning approach to standardize safety evaluations—a contribution that has already earned 4 citations and holds promise for improving workplace safety protocols. Additionally, Zhu's 2016 study on "Robot-based adaptive laser wire welding of ship steel plates" (3 citations) demonstrates his practical impact on manufacturing, where he explored adaptive welding techniques for ship structures using robotic tracking sensors. Through these diverse contributions, Zhu Xiao-peng continues to bridge robotics, artificial intelligence, and industrial safety, offering tangible solutions for real-world challenges.