Yunfeng Sun

Papers

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About

Yunfeng Sun is a robotics researcher whose work centers on autonomous navigation and intelligent path planning for mobile robots. His most-cited contribution, a 2023 study fusing the A* algorithm with the Dynamic Window Approach (DWA), addresses critical limitations in traditional path planning—namely, low search efficiency, excessive turning points, and an inability to handle unknown obstacles dynamically. By integrating A*’s global optimality with DWA’s real-time obstacle avoidance, Sun’s fusion algorithm achieves smoother, safer trajectories in complex environments, a breakthrough with direct applications in warehouse logistics, service robotics, and autonomous vehicles. With 9 citations to date, this work has already informed subsequent studies in adaptive navigation systems. Sun’s research exemplifies a practical, systems-level approach to bridging global planning and local control, offering a scalable solution for mobile robots operating in unpredictable settings. His contributions are particularly valuable for students and engineers seeking to understand how hybrid algorithms can overcome the static-dynamic planning gap, making him a notable voice in the evolving field of intelligent robotics.