Mingqi Feng

Quanzhou Institute of Equipment Manufacturing Haixi Institute

Papers

Total Citations

H-Index

About

Mingqi Feng is a robotics researcher whose work centers on advancing robotic manipulation and manufacturing through intelligent path planning, force control, and additive manufacturing techniques. Feng’s key contributions lie in optimizing robot grinding processes, where they proposed a B-spline curve-based path optimization method integrated with force control to achieve stable, high-precision material removal—a critical challenge in automated finishing. This work, published in 2019, has garnered 7 citations and demonstrates a practical solution for industrial robots operating under variable contact forces. Feng also pioneered the use of 6-degree-of-freedom (DOF) manipulators for 3D printing and free-form surface coating, addressing the limitations of traditional 3-DOF printers by enabling complex, non-planar deposition and spraying. This 2019 paper, with 5 citations, highlights a forward-looking approach to scalable, high-DOF manufacturing. Additionally, Feng developed an incremental mapping method for mobile robots using line-segment relations extracted from laser scans, improving indoor navigation efficiency. With a portfolio that bridges robotic path optimization, force-sensitive control, and advanced manufacturing, Mingqi Feng’s work offers valuable insights for researchers in industrial robotics and automated fabrication.