Haoyu Fu

Dalian University of Technology, Northwestern Polytechnical University

Papers

Total Citations

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About

Haoyu Fu is a rising researcher in robotics and intelligent manufacturing, with a focus on enhancing the autonomy and performance of robotic manipulation systems. His work bridges computer vision, kinematics optimization, and adaptive control to address real-world challenges in industrial automation. Fu’s most cited paper, “Posture optimization for improving the kinematics performance of robotic polishing under combined constraints by using a KC-ADP method” (2025, 4 citations), introduces a novel approach that integrates kinematic constraints with adaptive dynamic programming to significantly improve the precision and efficiency of robotic polishing tasks—a critical process in high-end manufacturing. In his earlier work, “Research on Moving Arm Grasping Based on Computer Vision” (2022, 2 citations), Fu tackled the intelligence gap in traditional mechanical arm grasping, proposing a vision-guided method for eye-in-hand manipulators. This research has practical implications for applications like smart garbage removal robots, where adaptive grasping is essential. Though early in his career, Fu’s contributions demonstrate a clear trajectory toward smarter, more dexterous robotic systems, with potential impacts on both industrial automation and service robotics.