About

Chien-Ming Huang is a leading researcher in human-robot interaction, whose work bridges robotics, artificial intelligence, and cognitive science to create robots that collaborate seamlessly with people. His core contributions lie in three interconnected areas: socially assistive robotics for autism spectrum disorder (ASD) interventions, anticipatory control for efficient human-robot collaboration, and socially-aware robot navigation. Huang’s landmark 2018 study—demonstrating that a long-term, in-home social robot can improve social communication skills in children with ASD—has garnered 347 citations, establishing a new paradigm for deploying robots beyond the lab. His foundational work on using gaze patterns and behavioral cues to predict human task intent (165 citations) and on adaptive coordination strategies for handovers (133 citations) has shaped how robots anticipate and adapt to human partners in real time. Huang also developed the Robot Behavior Toolkit (113 citations), an open-source framework that enables researchers to program complex social behaviors. His research on narrative gestures for humanlike robots (122 citations) and learning-based multimodal behavior modeling (94 citations) has advanced the expressiveness of social robots. With over 1,400 total citations across his most-cited works, Huang continues to influence how robots perceive, predict, and respond to human social signals in homes, workplaces, and shared public spaces.

Research Focus

Key Achievements

23
H-Index
51
Papers
2,174
Total Citations
43
Avg Citations/Paper
🏆 Most Cited Paper
Improving social skills in children with ASD using a long-term, in-home social robot
347 citations · 2018
📈 Most Prolific Year: 2020 (9 Papers)
🤝 Key Collaborators: 72
🏛 Institutions: Yale University, University of Wisconsin–Madison, University of Washington, Johns Hopkins University, Georgia Institute of Technology, Robotics Research (United States)

Top Papers

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    Robot behavior toolkit
    113 citations · 2012
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago