Haiqing Zhang

Papers

Total Citations

H-Index

About

Dr. Haiqing Zhang is a robotics researcher whose work focuses on the motion control and optimization of industrial robots, particularly palletizing and redundant manipulators. His most influential contribution is the development of a maximum speed algorithm for serial palletizing robots using iterative learning control, a method that achieves high operational efficiency while keeping system modeling requirements low for easy real-world implementation. This work, published in 2012, has garnered 17 citations and addresses a critical industry need for faster, more practical automation solutions. Dr. Zhang has also advanced the field of redundant robotics with a novel numerical method for optimizing the motion of 7-DOF robots. By abandoning the conventional Jacobian matrix approach, his technique reduces computational complexity and identifies the most suitable redundancy joint for efficient task execution. With a total of 22 citations across his most-cited works, Dr. Zhang’s research provides accessible, high-performance control strategies that bridge the gap between theoretical robotics and industrial application, making his work valuable for engineers and researchers seeking to improve robot speed and dexterity in manufacturing environments.