Bohong Su

Papers

Total Citations

H-Index

About

Bohong Su is a researcher whose work bridges the fields of robotics and computer vision, with a particular focus on appearance-based navigation and omnidirectional sensing. Their most-cited paper, "Appearance-based mobile robot navigation using omnidirectional camera" (2012), tackles a persistent challenge in autonomous robotics: enabling robots to navigate reliably using only visual input, without relying on active range-finding devices like LiDAR. This work addresses a fundamental goal in the field—making robot navigation more versatile and cost-effective by leveraging passive vision. Although the paper has garnered 4 citations, its contribution lies in advancing the practical application of omnidirectional cameras for real-world mobile robot localization and path planning. Su’s research is notable for exploring how visual appearance, rather than geometric maps, can guide robots through complex environments, a concept that remains relevant as vision-based autonomy continues to evolve. Their work reflects a commitment to solving core problems in robotic perception, offering insights for students and researchers interested in the intersection of computer vision and autonomous systems.