Shengtao Chen

Dalian Maritime University, National Defense University

Papers

Total Citations

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About

Shengtao Chen is a pioneering researcher in pipeline robotics, specializing in the motion mechanics and passability of inspection and cleaning robots within complex pipeline systems. His work addresses critical challenges in the oil and gas industry, particularly the clogging and obstruction of pipeline inspection gauges (PIGs) and multisection micro robots. Chen’s most cited paper, “Motion Law and Mechanical Properties of PIGs When Passing through a Pipe Bend” (2022, 10 citations), provides foundational insights into the pressure differential and friction dynamics that govern robot movement through bends, directly tackling the root causes of pipeline blockages. He further advanced the field with “Passability and Internode Mechanics Analysis of a Multisection Micro Pipeline Robot” (2023, 3 citations), offering detailed analysis of how multi-segment robots navigate tight spaces. Beyond pipeline mechanics, Chen has contributed to Industry 4.0 through the “Design and Development of Portable LoRa-based Teleoperation Controller” (2020, 3 citations), integrating wireless communication technologies like LoRa for remote robot control. His work bridges mechanical engineering and wireless teleoperation, with cumulative citations highlighting its growing impact on pipeline maintenance and automation.