Ying-Hsiu Hung

Papers

Total Citations

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About

Ying-Hsiu Hung is a researcher at the forefront of human-robot collaboration and industrial safety, with a primary focus on developing intelligent protection systems for automated manufacturing environments. Her most-cited work, "Novel Robotic Arm Working-Area AI Protection System" (2023, 3 citations), addresses a critical gap in modern machining safety. Hung’s research systematically analyzes the escalating risks posed by traditional manual lathes, CNC machines, and sophisticated robotic arms as manufacturing evolves from handcrafted methods to advanced human-robot teamwork. Her major contribution lies in designing an AI-driven protective framework that safeguards operators in dynamic workspaces, bridging the gap between automation efficiency and accident prevention. This work is particularly notable for its practical application in high-risk industrial settings, offering a scalable solution for factories transitioning to collaborative robotics. While her citation count is still growing, Hung’s research is foundational for engineers and safety specialists seeking to integrate artificial intelligence into occupational hazard mitigation. Her achievements underscore a commitment to making advanced manufacturing both productive and secure, positioning her as an emerging voice in the intersection of robotics, AI, and workplace safety.