Mao-lin Lei

Papers

Total Citations

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About

Mao-lin Lei is a researcher focused on advancing tunneling and underground construction technologies, particularly through robotic automation. His work centers on the design and control of specialized robots for tunnel boring machine (TBM) operations, with a key contribution in the development of a grasping docking mechanism for TBM steel arch splicing robots. This innovation addresses a critical challenge in tunnel construction—automating the precise and safe assembly of steel arches that reinforce tunnel walls during excavation. Lei’s most-cited paper, "Grasping docking mechanism of TBM steel arch splicing robot" (2020), has garnered 3 citations, reflecting its niche but significant impact in the field of construction robotics. While his citation count is modest, his research is notable for its practical engineering focus, bridging robotics and civil infrastructure to improve efficiency and worker safety in demanding underground environments. Lei’s work contributes to the growing body of knowledge on automated tunneling systems, offering insights that could reduce human labor in hazardous conditions and accelerate tunnel construction timelines.