Yuan Yan Tang

Concordia University, Beihang University, Chengdu University of Technology, Hong Kong Baptist University

Papers

Total Citations

114

H-Index

About

Yuan Yan Tang is a pioneering researcher in computer vision, pattern recognition, and robotics, with a career spanning foundational work in image processing to cutting-edge multirobot systems. His early contributions introduced a groundbreaking image transformation approach for nonlinear shape restoration (1993, 54 citations), treating shape distortions as uncertainty in vision tasks—a method that remains influential in pattern recognition and robot vision. He later refined this with Coons transformation techniques (1996), demonstrating sustained impact in nonlinear image correction. In recent years, Tang has advanced into multirobot systems, developing a novel cooperative path planning algorithm for persistent coverage in complex environments (2020, 44 citations). This work addresses real-world challenges by moving beyond geometric division to account for environmental complexity, enabling efficient collaborative coverage by robot teams. His research also extends to 3D dynamic uncertainty semantic SLAM for production workshops (2022), bridging theoretical innovation with industrial applications. With over 100 citations across his most-cited works, Tang’s career exemplifies a transition from core vision theory to practical robotics, making him a key figure in both fields. His work continues to inspire students and researchers tackling uncertainty in autonomous systems.