Papers
29
Total Citations
587
H-Index
16
About
Limin Zhu is a prolific robotics and automation researcher whose work spans cable-driven robotics, robot motion planning, precision control, and computer vision. Best known for foundational contributions to hyper-redundant and snake robot systems, Zhu's 2017 paper on cable-driven hyper-redundant robot design has garnered 89 citations, establishing a widely referenced framework for mechanical design and kinematic analysis in this challenging domain. His subsequent work on two-level motion planning for snake robots and confined-space path following further advanced the field's practical capabilities, collectively attracting over 85 additional citations. Beyond flexible robotics, Zhu has made meaningful contributions to precision automation, including robust neural dynamics methods for redundant manipulators, periodic-disturbance observer design for atomic force microscopy, and high-precision control of parallel robots. His 2020 review of robotic cell microinjection — cited 39 times — reflects his reach into biomedical automation, synthesizing advances relevant to genetics and reproductive health applications. More recently, Zhu has expanded into 3D scene reconstruction and multi-view stereo, with novel deep learning approaches for industrial and aerial environments. Across these diverse domains, Zhu's research consistently bridges rigorous theoretical foundations with experimental validation, making his work highly valuable to both engineers and researchers pushing the frontiers of intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Design of a cable-driven hyper-redundant robot with experimental validation89 citations · 2017
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- 3Edge-Assisted Epipolar Transformer for Industrial Scene Reconstruction39 citations · 2024
- 4A Review of Recent Advances in Robotic Cell Microinjection39 citations · 2020
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- 7Modified Robust Dynamic Control for a Diamond Parallel Robot31 citations · 2019
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