Mengyuan Tang

Papers

Total Citations

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About

Mengyuan Tang is a rising researcher in the field of indoor positioning and human-robot collaboration, with a focus on overcoming the limitations of GNSS in indoor environments. Her work addresses the critical challenge of reliable localization for location-based services, where traditional satellite systems fail. Tang’s major contributions include developing innovative cooperative localization methods that leverage mobile robot anchors and factor graph optimization to enhance positioning accuracy. Her most-cited paper, "Enhanced indoor positioning through human-robot collaboration" (2024, 5 citations), explores the synergy between humans and robots to improve indoor navigation, while her 2025 work on cooperative localization (3 citations) further advances this area by integrating mobile robots as dynamic anchors. Though early in her career, Tang’s research is already gaining traction, demonstrating significant potential for real-world applications in robotics, smart environments, and autonomous systems. Her work stands out for its practical approach to solving indoor positioning challenges, making her a promising voice in the field.