Papers

14

Total Citations

745

H-Index

10

About

Chong Lv is a distinguished researcher specializing in robotic manufacturing, precision machining, and intelligent automation, with a particular focus on the automated grinding and polishing of complex curved surfaces, especially aero-engine blades. His work sits at the intersection of robotics, advanced manufacturing, and control systems, addressing some of the most demanding precision challenges in modern aerospace production. Lv's most impactful contributions include pioneering methods for robotic automatic polishing of curved surfaces and investigating polishing pressure dynamics, both published in 2016 and collectively accumulating nearly 260 citations. His 2021 work on kinematic parameter calibration using a Levenberg-Marquardt and Differential Evolution hybrid algorithm—cited 181 times—has become a landmark reference for improving industrial robot accuracy. Subsequent research on passive compliance control, dwell-time-based toolpath planning, residual height error compensation, and regional force control strategies has systematically elevated the precision and efficiency of blade grinding for aero-engine applications. With a cumulative citation count exceeding 700 across his top works, Lv's research has meaningfully shaped the field of intelligent robotic machining. His ongoing investigations into aerodynamic performance optimization and path accuracy enhancement underscore a commitment to bridging fundamental robotics research with high-stakes industrial application.

Research Focus

Key Achievements

10
H-Index
14
Papers
745
Total Citations
53
Avg Citations/Paper
🏆 Most Cited Paper
A novel kinematic parameters calibration method for industrial robot based on Levenberg-Marquardt and Differential Evolution hybrid algorithm
181 citations · 2021
📈 Most Prolific Year: 2021 (4 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: Chongqing University, Shenyang Ligong University, Henan Polytechnic University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago