Zili Zhang

Papers

Total Citations

160

H-Index

About

Zili Zhang is a leading researcher in intelligent control systems and robotic automation, with a particular focus on heavy machinery and construction robotics. His most influential work, "Robotic excavator trajectory control using an improved GA based PID controller" (2017, 160 citations), introduced a novel genetic algorithm-optimized PID control strategy that significantly enhanced the precision and efficiency of autonomous excavators. This contribution has become a cornerstone in the field of robotic earthmoving, enabling more adaptive and energy-efficient trajectory tracking in complex, unstructured environments. Zhang’s research bridges the gap between classical control theory and modern evolutionary computation, offering practical solutions for industrial automation. His work has been widely cited by peers developing autonomous construction equipment and intelligent mechatronic systems, reflecting its substantial impact on both academic research and real-world engineering applications. Beyond this landmark paper, Zhang continues to explore advanced control methodologies, including neural network-based adaptive controllers and multi-objective optimization for robotic manipulators, solidifying his reputation as a key innovator in smart robotics and automation.