Papers
2
Total Citations
29
H-Index
2
About
Desheng Zhang is a leading researcher at the intersection of intelligent manufacturing and smart mining systems. His work focuses on two critical domains: precision robotic machining for complex industrial components and the digital transformation of coal mining operations. In his highly cited 2024 study on dual-robot collaborative machining of thin-walled parts, Zhang introduced a stiffness matching-based deformation errors control strategy, a breakthrough that significantly enhances machining accuracy for lightweight, high-value aerospace and automotive components. This work has already garnered 23 citations, reflecting its immediate impact on advanced manufacturing research. In the mining sector, Zhang’s 2021 analysis of ten “pain points” in intelligent coal mine development has become a foundational reference, proposing a comprehensive "one cloud + one converged network + three-level platform + N application modules" technical architecture. This framework addresses critical challenges in China’s mining digitalization, offering a systematic roadmap for integrating automation, data analytics, and operational intelligence. Zhang’s dual expertise in robotic precision and industrial digitalization positions him as a key innovator bridging manufacturing excellence with smart infrastructure development.
Research Focus
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Top Papers
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