Papers
78
Total Citations
1,508
H-Index
21
About
Fengfeng Xi is a distinguished robotics and manufacturing engineer whose research spans industrial robot control, parallel robot design, and intelligent manufacturing automation. Based at the intersection of mechanical engineering and robotics, Xi has made lasting contributions to how robots are designed, calibrated, and deployed in complex industrial environments. Among his most celebrated works, Xi's 2014 paper on calibration-based iterative learning control for path tracking—garnering 159 citations—introduced a novel approach to correcting preplanned robot paths through iterative learning identification, significantly improving precision in industrial applications. His 2008 work on automated polishing and deburring using a compliant toolhead (141 citations) advanced robotic finishing processes, while his foundational 2004 research on static balancing of parallel robots (136 citations) remains a key reference in the field. Xi has also pioneered reconfigurable and add-on robotic systems, including a sliding-leg tripod designed to expand machine tool capabilities, and has explored cutting-edge areas such as continuum robots inspired by marine biology and swarm intelligence-based inverse kinematics. His work on robotic percussive riveting further demonstrates his commitment to aerospace manufacturing automation. Collectively, his research portfolio reflects a career dedicated to bridging theoretical robotics with practical industrial innovation.
Research Focus
Key Achievements
Top Papers
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- 3Static balancing of parallel robots136 citations · 2004
- 4Design and analysis of a re-configurable parallel robot50 citations · 2005
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- 6Development of a sliding-leg tripod as an add-on device for manufacturing40 citations · 2001
- 7Framework on robotic percussive riveting for aircraft assembly automation36 citations · 2013
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