Shize Zhao
Papers
4
Total Citations
24
H-Index
3
About
Shize Zhao is a leading researcher in industrial robotics, specializing in trajectory tracking accuracy, motion control, and multisensory measurement systems. His work addresses critical challenges in robotic machining, where precision is paramount. Zhao’s most impactful contribution is the development of a temporal–spatial mapping and multi-measurement alignment framework, published in 2025 with 12 citations, which significantly enhances trajectory tracking in industrial robots. He also introduced Sigmoid angle-arc curves, a novel approach for time-optimal path parameterization that enables high-order smooth motion, earning 7 citations. In a notable 2025 study, Zhao pioneered a multisensory measurement synchronization method combining laser trackers and photoelectric switches, achieving high-accuracy error compensation and seamless integration into robotic systems—a breakthrough for composite error correction. His DEGO-ILC controller further advances iterative learning control for precision tracking. With over 24 citations across his key works, Zhao’s research bridges theoretical motion planning and practical industrial applications, offering robust solutions for automation and manufacturing. His innovative use of sensor fusion and adaptive control positions him as a key figure in next-generation robotic precision.
Research Focus
Key Achievements
Top Papers
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