Papers
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Total Citations
3
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About
Limei Zhao is a researcher specializing in adaptive control, neural networks, and bio-inspired robotics, with a particular focus on snake-like robotic systems. Her most notable contribution is the development of an adaptive neural network tracking control method for snake-like robots, which leverages a deterministic learning approach to achieve precise trajectory tracking while simultaneously approximating unknown system dynamics. This work, published in 2017, has garnered 3 citations and represents a significant step forward in the control of complex, underactuated robotic systems. Zhao’s research addresses critical challenges in nonlinear system identification and adaptive control, offering practical solutions for robots operating in unstructured environments. Her approach integrates theoretical rigor with real-world applicability, making her work valuable for researchers in robotics, control engineering, and artificial intelligence. By advancing the capabilities of snake-like robots—which are promising for search-and-rescue, inspection, and medical applications—Zhao has established herself as a contributor to the intersection of learning-based control and bio-inspired design. Her ongoing efforts continue to push the boundaries of intelligent robotic systems.
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Top Papers
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