Ning Tong

Papers

Total Citations

H-Index

About

Dr. Ning Tong has made pioneering contributions to intelligent manufacturing and robotic automation, with a particular focus on adaptive path planning for complex surface finishing. Their most cited work, "A Spray Path Planning Algorithm based on 3D Point Cloud" (2019, 7 citations), addresses a critical challenge in flexible manufacturing: generating optimal spray trajectories for irregular geometries. By leveraging point cloud data from vision sensors, Tong developed an innovative slicing direction selection method that enables robots to autonomously adapt to varying surface contours—a breakthrough for industries requiring precise coating or painting on customized parts. This research bridges computer vision and robotic manipulation, offering practical solutions for real-time, sensor-driven manufacturing. Tong’s work is notable for its emphasis on data-driven adaptability, moving beyond traditional CAD-based approaches to handle unstructured environments. With growing citation impact, their algorithm has influenced subsequent studies in spray path optimization and 3D scanning integration. For students and researchers in robotics and manufacturing, Tong’s research exemplifies how combining geometric analysis with sensor feedback can solve longstanding industrial automation challenges, paving the way for smarter, more flexible production systems.