Papers
2
Total Citations
27
H-Index
2
About
Sihao Mao is a rising researcher in robotics and manufacturing, whose work bridges advanced dynamics and intelligent path planning. His primary research areas include robotic machining dynamics, chatter detection, and coverage path planning for complex environments. Mao’s major contribution lies in developing novel methods to analyze and mitigate chatter in robotic milling—a critical challenge for precision manufacturing. In his 2024 paper, he introduced a dynamic mode decomposition approach to identify mode-coupling chatter, providing a new framework for real-time stability assessment in machining processes. This work has already garnered 15 citations, reflecting its immediate relevance to the field. Additionally, Mao has advanced spiral complete coverage path planning for multi-connected domains, using conformal slit mapping to generate smoother and shorter paths than traditional subregion-based methods. His 2024 paper on this topic (12 citations) offers a transformative solution for robotic cavity machining and autonomous exploration in complex spaces. By combining rigorous mathematical modeling with practical robotic applications, Mao is establishing himself as a key contributor to next-generation manufacturing and autonomous navigation systems.
Research Focus
Key Achievements
Top Papers
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