George Zhang

AbbVie (United States), ABB (Switzerland)

Papers

11

Total Citations

189

H-Index

7

About

George Zhang is a leading researcher in industrial robotics, with a focus on automation for manufacturing and processing industries. His work spans robotic deburring, high-precision assembly, and sensor-guided automation, particularly in semi-structured and moving production line environments. Zhang’s most cited paper, “On-Line Path Generation for Robotic Deburring of Cast Aluminum Wheels” (62 citations), introduced a method that reduced programming time from weeks to hours, significantly advancing automotive manufacturing efficiency. He further developed integrated vision and force control systems for high-precision assembly (46 citations), enabling robots to operate reliably in dynamic settings. His contributions extend to meat processing automation (22 citations), addressing repetitive strain injuries and hygiene standards, and to robotic wheel loading in automotive assembly (17 citations). Notable achievements include a modular air-gap crawler for motor inspection (9 citations) and pioneering work in robotic ultrasonic welding for battery assembly (8 citations), supporting electric vehicle production. Zhang’s research consistently demonstrates how intelligent robotic systems can solve real-world industrial challenges, with his work cited over 180 times, reflecting its practical impact on automation technology.

Research Focus

Key Achievements

7
H-Index
11
Papers
189
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
On-Line Path Generation for Robotic Deburring of Cast Aluminum Wheels
62 citations · 2006
📈 Most Prolific Year: 2009 (2 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: AbbVie (United States), ABB (Switzerland)

Top Papers

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    Robotic Assembly
    4 citations · 2014

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago