Zhongliang Lv

Chongqing University of Science and Technology

Papers

Total Citations

H-Index

About

Zhongliang Lv is a researcher advancing the frontiers of robotics and intelligent automation, with a focus on precision manufacturing and autonomous navigation. His work addresses critical challenges in robotic manipulation and mobile robot localization. In a highly cited 2023 study, Lv developed a novel method for robot grinding force tracking and compensation using a deep genetic algorithm, solving the persistent problem of trajectory deviations when machining complex-shaped cast workpieces—a breakthrough that prevents under-grinding or over-grinding and has already garnered 6 citations. He also contributed to indoor mobile robot positioning by improving the RTABMAP algorithm, enhancing visual SLAM accuracy in GNSS-denied environments, a paper with 4 citations. Earlier, in 2021, Lv explored the modular mechanical design of a stir-frying device for cooking robots, demonstrating his versatility in applying robotics to everyday tasks. With a growing citation impact, Lv’s work is laying essential groundwork for more adaptive, precise, and reliable robotic systems in both industrial and service applications.