Yongshuang Sun

Jiangsu University of Science and Technology

Papers

Total Citations

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About

Yongshuang Sun is a researcher focused on advancing autonomous navigation and path planning for mobile robots operating in complex, obstacle-rich environments. Their most cited work introduces a novel A*-weighted Jump Point Search (JPS) algorithm, which significantly improves the efficiency of global path planning by reducing computational overhead while maintaining optimality. This contribution addresses a critical bottleneck in robotics: enabling robots to navigate dynamically and safely in real-world settings. With their top-cited paper accumulating 5 citations, Sun’s research sits at the intersection of algorithmic optimization and practical robotics, offering scalable solutions for applications ranging from service robots to autonomous vehicles. By refining classical search techniques, Sun has helped bridge the gap between theoretical path planning and real-time deployment, making their work a valuable reference for students and engineers tackling the challenges of mobile robot autonomy. Their ongoing efforts continue to push the boundaries of efficient, intelligent navigation systems.