Zhaoxing Deng

Papers

Total Citations

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About

Zhaoxing Deng is a researcher at the forefront of robotic manipulation and autonomous manufacturing, with a particular focus on integrating vision and force control for complex industrial tasks. His key research areas include sensor-based robotic control, automated painting and coating processes, and the development of cost-effective robotic solutions for real-world applications. Deng’s major contribution lies in pioneering a vision and force-based autonomous coating method using rollers, as detailed in his 2020 paper. This work addresses a critical gap in structural painting by enabling a general-purpose robot to achieve the thicker paint layers and superior color consistency typically associated with manual roller application, while also allowing effortless customization of holder frames and naps. By replacing expensive, specialized equipment with a more adaptable and affordable robotic system, Deng’s research has the potential to democratize automation in the construction and finishing industries. Though his most-cited paper currently holds 3 citations, his work represents a foundational step toward intelligent, sensor-driven manufacturing. Deng’s achievements highlight his commitment to bridging the gap between academic robotics and practical, deployable technologies that enhance efficiency and quality in everyday tasks.