Mingjie Feng

China University of Mining and Technology

Papers

Total Citations

H-Index

About

Mingjie Feng is a leading researcher in robotics and construction automation, with a primary focus on the kinematics and trajectory planning of heavy-duty hydraulic robotic systems. Their most cited work introduces an innovative application of the improved Denavit-Hartenberg (D-H) parameter method to solve the complex positioning challenges inherent in pile driving operations. By developing precise kinematics equations and trajectory planning algorithms for a 6-DOF hydraulic robotic arm, Feng has addressed a critical bottleneck in automated construction: the manual adjustment of pile body position and posture. This contribution, which has garnered 9 citations since its 2024 publication, demonstrates Feng’s ability to bridge theoretical robotics with practical field applications. Their research not only enhances operational efficiency and safety in infrastructure projects but also lays foundational groundwork for the broader adoption of intelligent construction machinery. Feng’s work stands as a testament to the transformative potential of robotics in civil engineering, offering scalable solutions that reduce human error and physical labor in demanding environments.