Jiantao Li
Papers
3
Total Citations
21
H-Index
3
About
Jiantao Li is an emerging researcher specializing in robotic manufacturing, motion and force control, and advanced machining processes for complex components. His work sits at the intersection of intelligent control systems and precision manufacturing, with a particular focus on turbine blade processing — a domain demanding exceptional accuracy and adaptability. Li's most notable contribution to date is his development of a novel model predictive dynamic adaptive impedance control framework for robotic force tracking on complex surfaces, which has already garnered 9 citations since its 2025 publication. This work addresses one of the fundamental challenges in robotic manufacturing: maintaining consistent contact forces across geometrically intricate workpieces. Complementing this, his research on point-driven toolpath curve and orientation smoothing in robotic belt grinding, alongside model predictive motion/force control strategies for turbine blade grinding, collectively demonstrates a cohesive and systematic research agenda aimed at enhancing robotic machining intelligence and efficiency. Although Li's publication record is young, the rapid uptake of his 2025 work signals strong interest from the robotics and manufacturing communities. His research holds significant promise for advancing automated precision manufacturing in aerospace and energy sectors.
Research Focus
Key Achievements
Top Papers
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