Papers
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H-Index
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About
Mengqi Wang is a rising interdisciplinary researcher whose work bridges robotics, control systems, and advanced functional materials for next-generation artificial intelligence. Her primary research areas include trajectory tracking control for mobile robots under challenging conditions, and the development of novel two-dimensional (2D) piezo-ferro-opto-electronic semiconductors for brain-inspired computing. In her 2024 paper on wheeled mobile robots, Wang addressed the critical challenge of trajectory tracking under skidding, sliding, and time-varying input delays, establishing a dynamic model that determines maximum allowable delay—a contribution with direct applications in autonomous navigation and industrial robotics. Her more recent 2025 work introduces NbOX₂ (X = Cl, Br, I) as a 2D piezo-ferro-opto-electronic semiconductor, demonstrating its potential for multimodal perception and computation that mimics the human brain. This innovative material could significantly enhance AI systems requiring real-time decision-making and environmental adaptability. Though early in her career, Wang’s work has already garnered citations and shows promise at the intersection of robotics control and advanced materials science, positioning her as a researcher to watch in the development of intelligent, adaptive systems.
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