Xiaodong Lv

Nanyang Normal University, Nanjing Tech University

Papers

Total Citations

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About

Xiaodong Lv is a robotics researcher whose work focuses on the control and perception systems of autonomous mobile robots, with particular emphasis on nonholonomic platforms and construction robotics. His most cited work, "Orientation-error observer-based tracking control of nonholonomic mobile robots" (2017, 14 citations), addresses fundamental challenges in trajectory tracking by developing observer-based control strategies that compensate for orientation errors—a critical contribution to the stability and precision of wheeled mobile robots operating in real-world environments. More recently, Lv has extended his research into construction robotics, as demonstrated by his 2022 paper on "Object Segmentation by Spraying Robot Based on Multi-Layer Perceptron" (5 citations). This work integrates vision systems with multi-layer perceptron neural networks to enable construction robots to identify and localize objects within complex, unstructured building environments. By jointly considering the characteristics of the construction environment, the objects being manipulated, and the robot's physical structure, Lv's approach provides a practical pathway for robots to autonomously perceive and interact with their surroundings. His research bridges theoretical control methods with applied perception systems, contributing to the growing field of intelligent construction automation.