Xilin Zhao

Papers

Total Citations

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About

Xilin Zhao is a researcher focused on advancing autonomous mobile robot navigation through intelligent path planning algorithms. Their work primarily addresses the efficiency and optimality of robot motion in complex environments, leveraging swarm intelligence and heuristic optimization techniques. Zhao’s most cited paper, "A new path planning method of mobile robot based on adaptive dynamic firefly algorithm" (2020, 27 citations), introduces an enhanced firefly algorithm that dynamically adjusts parameters to improve convergence speed and path smoothness, addressing key limitations of traditional swarm-based methods. This work has become a reference point for adaptive optimization in robotics. Building on this, Zhao developed an "Improved RRT path planning algorithm based on growth evaluation" (2021, 3 citations), which reduces computational overhead and sample count by evaluating node growth efficiency. Most recently, their "Bidirectional Artificial Potential Field-Based Ant Colony Optimization for Robot Path Planning" (2024, 2 citations) combines artificial potential fields with ant colony optimization to mitigate local minima and accelerate convergence. Collectively, Zhao’s contributions demonstrate a systematic progression from single-algorithm enhancements to hybrid frameworks, offering practical solutions for real-time robot navigation. Their work is particularly valuable for students and engineers seeking to understand how adaptive and bidirectional strategies can overcome classical path planning challenges.