Zilong Shao

Centre National de la Recherche Scientifique

Papers

Total Citations

H-Index

About

Zilong Shao is a robotics and automation researcher whose work bridges modular robotic systems and 3D sensing technologies for Industry 4.0 applications. His primary research areas include modular robot manipulators, position-controlled actuation, and structured light-based point cloud quality assessment. Shao’s foundational work on modular robot manipulators, published in 2015, addresses the challenge of creating user-configurable, cost-effective robotic arms by embedding smart actuators with position input and feedback controllers. This approach simplifies deployment while maintaining precise control, enabling rapid design and implementation in industrial settings. His 2022 study on structured light-based point cloud acquisitions introduces quality metrics to evaluate 3D reconstructions, a critical contribution for reverse engineering and maintaining coherence between physical objects and their digital twins. Though his citation counts are modest—3 and 2 respectively—these papers represent targeted contributions to practical robotics and metrology. Shao’s work is particularly notable for its focus on making advanced robotic and sensing technologies more accessible and reliable, supporting the growing demand for accurate digital representations in smart manufacturing environments.