Weikai He
Papers
3
Total Citations
9
H-Index
2
About
Weikai He is a control systems researcher whose work focuses on advancing the precision and robustness of robotic manipulators operating under real-world uncertainties. His primary research areas include adaptive tracking control, disturbance observer design, and friction compensation for robotic systems. He is perhaps best known for developing a novel mismatched composite disturbance observer that enables adaptive tracking controllers to handle disturbances without requiring the restrictive bounded-derivative assumptions common in prior work—a contribution detailed in his most-cited paper (5 citations, 2024). He has also made notable contributions to prescribed tracking control, where his friction-compensation approach combined with an improved extended state observer offers a practical, implementation-friendly solution for n-DOF manipulators. Beyond robotics, He has explored ghost imaging techniques to enhance detection of low-transmittance objects, addressing challenges in underwater environments. His work bridges theoretical rigor with practical applicability, earning recognition for advancing the state of the art in robotic control under uncertainty.
Research Focus
Key Achievements
Top Papers
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