Da‐Wei Ding

Nanjing University of Posts and Telecommunications, University of Science and Technology Beijing

Papers

Total Citations

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About

Dr. Da-Wei Ding is a researcher whose work bridges precision manufacturing and autonomous robotics, with a focus on improving accuracy and robustness in complex systems. His key research areas include sheet metal bending process optimization, lidar-inertial localization, and outlier mitigation in sensor fusion. Dr. Ding’s major contributions are twofold: first, he developed advanced error compensation and path planning algorithms for sheet metal bending, employing improved modeling techniques to enhance manufacturing precision. Second, he pioneered a robust lidar-inertial localization system that explicitly addresses the often-overlooked impact of outliers on tracking accuracy, demonstrating how lidar-inertial systems outperform single-lidar setups during rapid rotations. His most-cited work, “Error compensation and path planning for sheet metal bending process based on improved modeling algorithms” (2024, 7 citations), highlights his impact on manufacturing efficiency, while his 2021 paper on outlier removal in lidar-inertial systems (4 citations) underscores his contributions to mobile robot navigation. By tackling real-world challenges in both industrial fabrication and autonomous perception, Dr. Ding’s research offers practical solutions that advance the reliability of automated systems, making his work valuable for engineers and researchers in robotics and manufacturing alike.