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个人简介
His lab develops interactive robot systems that work cooperatively with people to increase task performance and enhance user experience. Specifically, Huang’s team focuses on deciphering human behavioral cues (e.g., eye gaze) for recognizing task intent, synthesizing intuitive robot behaviors to facilitate collaborative activities, and developing interfaces and methods for people to re-skill robots to perform custom tasks.
In 2018, he was selected for the Association for Computing Machinery’s (ACM) Conference on Human Factors in Computing Systems (referred to as CHI) Early Career Symposium and its New Educators Workshop for the ACM’s Special Interest Group on Computer Science Education. As a PhD candidate, Huang received “Best Paper Runner-up” and “Best Student Poster Runner-up” honors at the 2013 Robotics: Science and Systems (RSS) conference and was named a 2012 Human-Robot Interaction (HRI) Pioneer.
In 2018, he was selected for the Association for Computing Machinery’s (ACM) Conference on Human Factors in Computing Systems (referred to as CHI) Early Career Symposium and its New Educators Workshop for the ACM’s Special Interest Group on Computer Science Education. As a PhD candidate, Huang received “Best Paper Runner-up” and “Best Student Poster Runner-up” honors at the 2013 Robotics: Science and Systems (RSS) conference and was named a 2012 Human-Robot Interaction (HRI) Pioneer.
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crossref(2024)
Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (2024)
IEEE/ACM International Conference on Human-Robot Interactionpp.361-370, (2024)
arxiv(2024)
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arxiv(2023)
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CoRR (2023)
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