Renlong Qi

Zhengzhou University of Science and Technology

Papers

Total Citations

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About

Renlong Qi is a researcher in robotics and intelligent control, with a primary focus on adaptive control systems and autonomous path planning for industrial robots. His most influential work, "Adaptive PID control of multi-DOF industrial robot based on neural network" (2020), has garnered 37 citations, demonstrating its significance in advancing neural-network-driven adaptive control for multi-degree-of-freedom manipulators. This contribution addresses critical challenges in real-time robot precision and stability under dynamic conditions. More recently, Qi has explored bio-inspired optimization for navigation, as seen in his 2025 paper "A hybrid multi-strategy SCSO algorithm for robot path planning," which introduces a novel hybrid approach to enhance efficiency in complex environments. His research bridges theoretical control methods and practical robotic applications, offering valuable insights for students and engineers working on intelligent automation. Qi’s work reflects a commitment to improving robot autonomy and adaptability, positioning him as a notable contributor to the evolving field of industrial robotics.