Yiping Peng

Papers

Total Citations

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About

Yiping Peng is a leading researcher in intelligent robotics and automated manufacturing, with a primary focus on robotic spray painting and 3D perception systems. His most cited work, "Online 3-D Modeling of Complex Workpieces for the Robotic Spray Painting With Low-Cost RGB-D Cameras" (2021, 18 citations), addresses a critical bottleneck in industrial automation: the real-time reconstruction of workpiece geometry for path planning and pose estimation. Peng’s key contribution lies in developing cost-effective, online 3D modeling methods that enable robots to adapt to randomly positioned and complex-shaped workpieces—a challenge that previously required expensive pre-programming or manual intervention. This work has significant implications for flexible manufacturing, reducing setup time and cost while improving painting precision. Beyond this, Peng’s research advances the integration of low-cost RGB-D sensors into industrial robotics, making automation more accessible for small and medium enterprises. His achievements demonstrate a practical, problem-driven approach to robotics, bridging computer vision and manufacturing. With growing citations and continued relevance in Industry 4.0, Peng’s work is shaping the future of adaptive robotic systems.