Zixing Nie

Papers

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About

Zixing Nie is a rising researcher in the field of intelligent robotics and control systems, with a focus on digital twin technology and autonomous vehicle navigation. Their most cited work, "Virtual-Physical Tracking Control for a Car-Like Mobile Robot Based on Digital Twin Technology" (2024, 13 citations), introduces a groundbreaking digital twin framework that bridges virtual and physical entities to achieve precise tracking control for car-like mobile robots. This work establishes a virtual-physical interaction module that enables real-time synchronization and control, representing a significant advancement in cyber-physical systems. More recently, Nie has extended their expertise to underwater robotics, proposing an improved PID algorithm for hovering control (2025, 2 citations) that addresses the challenges of manual tuning and parameter optimization in complex underwater environments. Their research demonstrates a versatile approach to control theory, applying innovative solutions across both terrestrial and marine robotic platforms. Nie's contributions to digital twin-based control systems are particularly notable for their potential applications in autonomous navigation and industrial automation, marking them as an emerging voice in the integration of virtual modeling with physical robotic systems.