Lu Wanlin

Papers

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About

Lu Wanlin has made significant contributions to the field of mobile robotics, with a primary focus on path planning and navigation algorithms. Their most cited work, "Path Planning Research Based on An Improved A* Algorithm for Mobile Robot" (2019), addresses critical limitations in traditional A* pathfinding, including excessive breakpoints, unsmooth trajectories, and inefficient search processes. By proposing refinements to the A* algorithm, Wanlin enhanced the smoothness and efficiency of robot movement in complex environments, directly impacting autonomous navigation systems. With over 5 citations on this seminal paper, Wanlin’s research has influenced subsequent studies in robotics and artificial intelligence, particularly in optimizing real-time decision-making for mobile platforms. Their work bridges theoretical algorithm design and practical robotic applications, offering solutions that reduce computational overhead while improving path quality. Wanlin’s contributions are especially relevant for students and researchers exploring heuristic search methods, autonomous systems, and intelligent transportation. By tackling foundational challenges in robot motion planning, Lu Wanlin has helped advance the reliability and performance of autonomous agents in dynamic settings.