Heyang Xia

Papers

Total Citations

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About

Heyang Xia is a researcher focused on advancing the real-time performance of robotic vision systems, particularly for indoor mobile robots. His work addresses a critical bottleneck in autonomous navigation: the trade-off between image resolution and computational speed. In his most-cited study, Xia systematically investigates how image size directly impacts the efficiency of visual positioning algorithms. By demonstrating that the shape and dimensions of captured images significantly affect processing latency, he provides a practical framework for optimizing robot vision without sacrificing accuracy. This contribution, which has garnered 9 citations, is essential for engineers designing faster, more responsive robots for dynamic environments. Xia’s research bridges computer vision and robotics, offering actionable insights for real-world deployment. His findings are particularly valuable for applications requiring rapid, on-the-fly localization, such as warehouse automation or service robotics. Through his work, Xia helps pave the way for more agile and computationally efficient robotic systems, making him a noteworthy contributor to the field of intelligent robotics.