Papers
7
Total Citations
46
H-Index
4
About
Qianlei Cao is a robotics and control systems researcher whose work centers on advanced control strategies for robotic manipulators, with a particular focus on terminal sliding mode control, finite-time convergence, and adaptive techniques. His research addresses one of the fundamental challenges in robotics: achieving precise, robust motion and force control in the presence of system uncertainties, modeling errors, and external disturbances. Cao's most influential contribution, his 2014 paper on adaptive motion/force control using fast terminal sliding mode (17 citations), introduced a novel finite-time control strategy for constrained manipulators that handles environmental interactions and modeling uncertainties simultaneously. He extended this work through a series of progressively refined frameworks, including the integration of neural networks with terminal sliding mode for enhanced adaptability (12 citations, 2018), and the development of full-order multi-input/multi-output terminal sliding mode schemes (2016). His 2015 work established a generalized framework for force/position control using terminal sliding mode, further cementing his contributions to constrained robotic systems. Across his portfolio, Cao has accumulated over 46 citations, demonstrating a steady and meaningful impact on the field. His research is particularly valuable for engineers and researchers working on robotic arms, haptic devices, and human-robot interaction systems where precise force regulation is critical.
Research Focus
Key Achievements
Top Papers
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- 4Adaptive full-order sliding mode control of rigid robotic manipulators5 citations · 2015
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- 6Robust Finite-Time Motion/Force Control for Constrained Robots3 citations · 2014
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