Da Xing Zhou
Papers
1
Total Citations
6
H-Index
1
About
Da Xing Zhou is a researcher specializing in robotics and intelligent control systems, with a particular focus on construction and mining automation. His most notable contribution lies in the development of an innovative anchor beam supporting robot, where he pioneered advanced position tracking and dynamic control methodologies. Zhou’s work integrates forward and inverse kinematics modeling with BP neural networks, alongside mechanical-hydraulic co-simulation using ante-valve pressure compensation—a novel approach that enhances precision and stability in heavy-duty robotic operations. His 2020 paper on this topic has garnered 6 citations, reflecting its growing relevance in the field of automated construction machinery. Zhou’s research addresses critical challenges in underground engineering and infrastructure support, offering practical solutions for safer and more efficient robotic deployment. By bridging theoretical control algorithms with real-world mechanical systems, he has contributed to the advancement of intelligent robotics in harsh environments. His work continues to influence the design of adaptive, high-precision robotic systems for industrial applications.
Research Focus
Key Achievements
Top Papers
- 1