Binbo Xie

Papers

Total Citations

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About

Binbo Xie is a researcher whose work sits at the intersection of robotics, 3D data processing, and mobile systems. His key research areas include 3D mesh compression, real-time data transmission, and motion planning for autonomous robots operating in complex, unstructured environments. Xie’s major contribution lies in developing efficient methods to compress and stream 3D environmental representations—enabling mobile robots to accurately map and navigate spaces during critical tasks like search-and-rescue or exploration. His most-cited paper, "3D Mesh Compression and Transmission for Mobile Robotic Applications" (2016), has garnered 2 citations and addresses a fundamental bottleneck: how to balance high-fidelity 3D data with limited bandwidth and computational resources on mobile platforms. This work bridges the gap between 2D mapping simplicity and the richer, more actionable 3D models needed for advanced motion planning. While his citation count is modest, Xie’s research is notable for its practical focus on real-world deployment, offering a foundation for future work in field robotics and autonomous systems. His contributions are particularly relevant for students and engineers aiming to push the boundaries of mobile robot autonomy in challenging environments.