SHAOJUN CAI

Shaojun Cai is a researcher actively engaged in the fields of robot navigation and visual localization. He is currently affiliated with the Department of Computer Science at the National University of Singapore (NUS). His research focuses primarily on autonomous driving, graph neural networks, multi-view camera localization, and bio-inspired robots. He has led or participated in the development of various robot navigation and vision systems, including a quadruped robotic navigation system designed to assist individuals with visual impairments. Shaojun Cai has an extensive academic record, having published papers at top-tier conferences such as CVPR and ICRA, covering topics like SLAM technology, visual navigation, and machine learning. His work has advanced the application of robotics in complex environments and significantly contributed to the development of future technologies.

• 2011-2014·National University of Singapore·Research Fellow
  • Conducted research related to robot navigation and visual localization under the supervision of David Hsu and Wee Sun Lee

• 2011-2014·National University of Singapore·Ph.D.
  • Specialized in robot navigation and artificial intelligence, with research topics including POMDP planning and visual localization