Papers
13
Total Citations
1,393
H-Index
10
About
Jie Hong is a robotics and automation researcher whose work spans two distinct yet complementary domains: intelligent control of flexible robotic systems and advanced robotic polishing technologies. With over 1,400 cumulative citations, Hong has established a significant presence in the field of applied robotics engineering. Hong's early and highly influential contributions include pioneering work on image-based homing for robot navigation, with a foundational 1992 paper and an expanded 2002 study accumulating a combined 263 citations, demonstrating sustained relevance over decades. His more recent work pivots toward flexible robotic manipulator control, where he developed neural network-based adaptive controllers capable of suppressing vibrations and compensating for complex nonlinearities such as input deadzone — work that garnered an impressive 385 and 317 citations respectively, signaling strong community adoption. Hong also made notable advances in robotic polishing, designing innovative macro-mini robot end-effectors that deliver precise force control with low inertia, earning over 200 citations. His integration of neural networks and genetic algorithms for polishing uneven surfaces further reflects his commitment to intelligent, adaptive manufacturing solutions. Collectively, Hong's research bridges foundational robotics theory with practical industrial applications, making him a valuable reference for researchers in control systems, robot navigation, and intelligent manufacturing.
Research Focus
Key Achievements
Top Papers
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- 4Image-based homing165 citations · 2002
- 5Image-based homing98 citations · 1992
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- 10Improved Design of The End-Effector for Macro-Mini Robotic Polishing Systems17 citations · 2017