Papers
4
Total Citations
94
H-Index
3
About
Zhihao Li is a robotics and intelligent manufacturing researcher whose work bridges human-robot interaction, additive manufacturing, and digital twin technologies. His most influential contribution, "Intention Understanding in Human–Robot Interaction Based on Visual-NLP Semantics" (2021, 42 citations), pioneers the integration of visual perception with natural language processing to enable robots to interpret human intentions during collaborative tasks—a critical step toward intuitive, socially-aware robotics. In manufacturing, Li's "A Path Planning Method for Robotic Wire and Arc Additive Manufacturing of Thin-Walled Structures with Varying Thickness" (2019, 41 citations) introduces an adaptive path planning algorithm that significantly improves the efficiency and precision of WAAM for complex geometries, addressing a key bottleneck in metal 3D printing. His recent work on "A high-precision digital twin modeling approach for the serial-parallel hybrid drilling robot in aircraft assembly" (2025) extends his expertise into aerospace manufacturing, where real-time virtual-physical synchronization enhances drilling accuracy. With over 90 total citations, Li's research demonstrates a clear trajectory from foundational interaction algorithms to applied industrial robotics, positioning him as a rising figure in intelligent automation and cyber-physical production systems.
Research Focus
Key Achievements
Top Papers
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