Chen-Ting Hung

Papers

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About

Chen-Ting Hung is a pioneering researcher in autonomous service robotics, with a focused expertise in human-robot interaction and retail automation. His most notable contribution is the development of the Autonomous Shopping-Guide Robot for cashier-less convenience stores, a groundbreaking system designed to replace human employees in emerging automated retail environments. This work, published in 2020, has garnered 8 citations and addresses a critical gap in the transition toward fully autonomous stores, such as those pioneered by Amazon. Hung’s robot not only guides customers through their shopping journey but also integrates seamlessly with cashier-less payment systems, enhancing efficiency and user experience. His research bridges robotics, artificial intelligence, and retail technology, offering practical solutions for the future of commerce. By tackling real-world challenges in store automation, Hung has positioned himself as a key innovator in the field, with his work serving as a foundational reference for subsequent studies in autonomous retail systems. His contributions are particularly relevant for researchers and students interested in the intersection of robotics and consumer technology.