Jianying Tang

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About

Jianying Tang is a researcher whose work lies at the intersection of educational robotics and outdoor localization technologies. In their most-cited paper, "Design of Educational Robot Platform Based on Graphic Programming" (2020), Tang introduced an accessible platform that lowers the barrier to robotics education, enabling students to learn programming concepts through intuitive, visual interfaces. This contribution has garnered 2 citations, reflecting its value in pedagogical contexts. Tang’s more recent research, "Research on Outdoor Localization of Robot Integrating Multiple Information Sources" (2025), tackles the critical challenge of precise robot positioning in complex outdoor environments. By fusing data from diverse sensors—such as GPS, inertial measurement units, and visual odometry—Tang’s work enhances localization accuracy where traditional methods fail due to signal interference or terrain variability. This study, with 1 citation, underscores Tang’s commitment to advancing autonomous navigation in real-world settings. Together, these papers highlight Tang’s dual focus on making robotics education more inclusive and solving practical engineering problems, marking them as a thoughtful contributor to both the learning and technical frontiers of robotics.