Rongshuang Kong

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About

Rongshuang Kong is a researcher focused on advancing robotic perception and autonomous navigation, with a particular emphasis on fusing satellite-based positioning with visual simultaneous localization and mapping (SLAM). Their most-cited work, "Robot positioning and navigation technology based on Integration of the Global Navigation Satellite System and real-time kinematics" (2023), introduces a novel hybrid approach that combines GNSS-RTK with visual SLAM. This technique overcomes critical limitations of single-method systems—such as poor adaptability to diverse environments and vulnerability to external interference—by leveraging the strengths of both global and local positioning. The paper has garnered 5 citations, establishing Kong’s early impact in the field of mobile robotics. Their research addresses a fundamental challenge in autonomous navigation: achieving robust, accurate positioning across varied and challenging scenarios. By integrating real-time kinematic corrections with visual odometry, Kong’s work contributes to more reliable robot operation in applications ranging from field robotics to autonomous vehicles. This innovative fusion strategy represents a significant step toward practical, all-weather navigation systems, marking Kong as a promising contributor to the next generation of intelligent robotic platforms.