XU Ji-cun

Papers

Total Citations

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About

Xu Ji-cun has made impactful contributions to the field of mobile robotics, with a particular focus on intelligent path planning and optimization algorithms. His key research areas include robot navigation, swarm intelligence, and bio-inspired computation. His most notable work, "Mobile robot path planning with reformative bat algorithm" (2022), introduces a novel approach that enhances the traditional bat algorithm by incorporating the Doppler effect into frequency updates. This innovation significantly improves the efficiency and adaptability of mobile robots in complex environments. With 9 citations to date, this paper has already garnered attention from peers working in autonomous navigation and optimization. Xu’s work stands out for its practical integration of physical principles into algorithmic design, offering a fresh perspective on how robots can better sense and respond to their surroundings. His research is particularly valuable for students and engineers seeking to understand the intersection of nature-inspired algorithms and real-world robotic control. Through this contribution, Xu Ji-cun has established himself as a promising voice in the ongoing effort to make mobile robots smarter, faster, and more autonomous.