Haishun Wang

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About

Haishun Wang is a researcher whose work bridges the critical fields of robotic perception and fluid dynamics. His primary contributions lie in developing real-time vision systems and optimizing mechanical designs for autonomous mobile robots. Wang’s most influential work, "A Real-Time Range Finding System with Binocular Stereo Vision," has garnered 18 citations, demonstrating its impact on the field. In this study, he proposed a DSP-based system using TMS320DM642 to capture paired images, applying Gaussian filters and improved Sobel kernels for feature-based local stereo matching, enabling mobile robots to acquire range information in real time—a fundamental capability for navigation and obstacle avoidance. Complementing his vision research, Wang also tackled practical engineering challenges in "Research on Duct Flow Field Optimisation of a Robot Vacuum Cleaner" (16 citations). Here, he addressed pressure drop issues in duct flow fields using the Pressure Implicit with Splitting of Operators method, significantly enhancing the efficiency of robotic cleaning systems. Together, these works showcase Wang’s dual expertise in computational imaging and mechanical optimization, making his research essential for students and engineers advancing autonomous robotics and household automation.