Zijing Jiang

Papers

Total Citations

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About

Zijing Jiang is a leading researcher in mobile robotics and intelligent navigation systems, with a primary focus on real-time dynamic path planning and heuristic optimization algorithms. Their most influential work, "Real-Time Dynamic Path Planning of Mobile Robots: A Novel Hybrid Heuristic Optimization Algorithm" (2019), has garnered 63 citations and addresses a critical challenge in robotics: enabling autonomous navigation in unpredictable, dynamic environments. By developing a hybrid heuristic approach that combines multiple optimization strategies, Jiang significantly improved the speed and adaptability of path planning for mobile robots, making them more viable for industrial and everyday applications. This contribution has practical implications for warehouse automation, autonomous vehicles, and service robotics. Jiang’s research is characterized by its emphasis on real-time performance—a key requirement for deploying robots in human-centric spaces. Their work bridges theoretical algorithm design with real-world implementation, earning recognition among peers for its innovation and applicability. As mobile robotics continues to expand into logistics, healthcare, and smart manufacturing, Jiang’s contributions provide a foundational framework for safer, more efficient autonomous navigation.