Jizhuang Hui
Papers
8
Total Citations
257
H-Index
6
About
Jizhuang Hui is a leading researcher at the intersection of robotics, intelligent manufacturing, and human-robot collaboration. His work centers on enabling seamless, context-aware cooperation between humans and machines in complex assembly environments. Hui’s major contributions include developing integrated recognition systems that fuse human skeletal data with object information to predict assembly intentions and actions, achieving citation counts of 75 and 71 for his foundational papers in 2022 and 2023. He has also advanced the theoretical modeling of parallel robots, deriving closed-form motion equations for redundantly actuated systems with joint friction using the Udwadia–Kalaba approach (40 citations). In bio-inspired robotics, Hui introduced a backward control method based on a σ-Hopf oscillator for smooth legged locomotion (28 citations). His applied work includes optimizing coating thickness for robotized thermal spray systems (26 citations) and developing multi-stage grasping algorithms for cluttered collaborative settings. Hui’s research is distinguished by its integration of perception, control, and practical manufacturing challenges, making him a key figure in the evolution of intelligent, human-aware robotic systems for industry.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5Coating thickness optimization for a robotized thermal spray system26 citations · 2023
- 6
- 7
- 8