Di Song

Papers

Total Citations

H-Index

About

Dr. Di Song is a pioneering researcher in construction automation and tunnel engineering, with a primary focus on developing robotic systems to enhance safety and efficiency in underground infrastructure. His most notable contribution is the design of an automatic tunnel shotcrete robot, which addresses the critical challenge of manual shotcrete application—a process that exposes workers to harsh tunnel environments and high labor intensity. By automating multi-degree-of-freedom shotcrete machines, Dr. Song’s work directly mitigates occupational hazards while improving precision and productivity in tunnel support construction. His 2019 paper on this system has garnered 11 citations, reflecting its foundational role in advancing construction robotics. Beyond this, Dr. Song’s research bridges mechanical engineering, control systems, and civil infrastructure, positioning him as a key innovator in the field. His achievements highlight a commitment to transforming dangerous manual tasks into automated, safer processes, making him a valuable reference for students and researchers exploring robotics in construction, human-robot collaboration, and sustainable tunnel engineering.