Mingde Gong
Papers
7
Total Citations
85
H-Index
4
About
Mingde Gong is a researcher whose work lies at the intersection of robotics, control systems, and autonomous vehicle dynamics. His primary research areas include redundant manipulator kinematics, tele-operation robotics, and active suspension systems for heavy-duty vehicles. Gong’s most influential contribution is his work on analytical inverse kinematics for 7-DOF redundant manipulators, which has garnered 57 citations and provides a method for determining continuous joint angle vectors from discrete solutions, a critical advancement for human-like robotic motion. He has also made notable contributions to terrain modeling using GPU-accelerated LiDAR data for vehicle preview systems, and to the design of a novel 3-DOF translational parallel robot with a fuzzy controller. In the domain of vehicle dynamics, Gong has proposed a position–force feedback optimal control strategy to enhance passability and wheel grounding performance in active suspension vehicles. His work on force feedback models for electro-hydraulic servo tele-operation robots further demonstrates his expertise in bilateral control. With a portfolio spanning from 2008 to 2025, Gong’s research continues to impact both robotic manipulation and autonomous vehicle navigation.
Research Focus
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