Papers

12

Total Citations

261

H-Index

8

About

Jibin Zhao is a prominent researcher specializing in robotic grinding automation, advanced force control strategies, and precision manufacturing of aerospace components. His work sits at the critical intersection of industrial robotics and aeronautical engineering, with a particular focus on developing intelligent machining solutions for high-performance materials such as nickel-based superalloys and single crystal superalloys used in aeroengine blades. Zhao's most significant contributions center on hybrid force/position control systems enhanced by fuzzy PID algorithms, enabling robots to adaptively manage contact forces during complex surface grinding—a challenge that directly impacts the fatigue life and aerodynamic performance of aviation blades. His theoretical frameworks for nonlinear material removal depth strategies and energy conversion-based grinding models have advanced the fundamental understanding of abrasive belt grinding mechanics. More recently, his development of position-based adaptive impedance control has pushed force-tracking precision further for geometrically complex curved components. With over 250 cumulative citations across his top publications, Zhao's research has garnered substantial community recognition. His ongoing investigations into anisotropic material removal mechanisms and multi-objective motion planning for aero-engine pipe processing reflect an expanding research vision that continues to bridge theoretical rigor with practical aerospace manufacturing demands.

Research Focus

Key Achievements

8
H-Index
12
Papers
261
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
The hybrid force/position anti-disturbance control strategy for robot abrasive belt grinding of aviation blade base on fuzzy PID control
51 citations · 2021
📈 Most Prolific Year: 2023 (4 Papers)
🤝 Key Collaborators: 36
🏛 Institutions: Chinese Academy of Sciences, Shenyang Institute of Automation

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago