Hung-Wei Hsu

Papers

Total Citations

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About

Hung-Wei Hsu’s research centers on autonomous robotics, with a primary focus on computer vision, self-localization, and real-time object recognition for humanoid robots. His most significant contribution is the development of the Stereo Vision-Based Self-Localization System (SVBSLS), a framework that enables humanoid robots to determine their position and measure distances by integrating data from pan/tilt motors and stereo cameras. This work, first presented in 2010 and refined through 2013, was designed specifically for the high-stakes environment of the RoboCup soccer humanoid league, where rapid and accurate environmental perception is critical. His top-cited paper on this system has accumulated 30 citations, demonstrating its influence in the field. Hsu also advanced efficient object recognition pipelines that combine coordinate establishment, tactic planning, and obstacle avoidance into a cohesive vision system. By tackling the core challenge of real-time spatial awareness in dynamic, competitive settings, his research has provided foundational techniques for autonomous navigation in robotics. His work remains a key reference for engineers developing vision-based control systems for humanoid platforms.