Zhihui Xie

Papers

Total Citations

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About

Zhihui Xie is a leading researcher in intelligent robotic systems, with a primary focus on task-centric battery management and neural network frameworks for autonomous robots. Their most-cited work, the 2024 survey "Survey on task-centric robot battery management: A neural network framework," has already garnered 11 citations, reflecting its timely and impactful contribution to the field. Xie's research addresses a critical challenge in robotics: optimizing energy consumption and battery life through data-driven, task-aware strategies. By integrating neural network architectures into battery management systems, they have pioneered methods that allow robots to dynamically allocate power based on mission priorities, extending operational efficiency and reliability. This work bridges the gap between hardware constraints and software intelligence, offering practical solutions for long-duration autonomous tasks in sectors like logistics, exploration, and service robotics. Xie's contributions are notable for their interdisciplinary approach, combining reinforcement learning, energy modeling, and real-time control. Their research not only advances theoretical understanding but also provides actionable frameworks for engineers designing next-generation autonomous systems. With a growing citation record and a focus on high-impact, application-driven problems, Zhihui Xie is shaping the future of energy-aware robotics.