Wood-Hi Cheng
Papers
2
Total Citations
9
H-Index
2
About
Wood-Hi Cheng is a pioneering researcher in intelligent robotics and human-robot interaction (HRI), with a focus on multimodal sensing and ubiquitous computing. His major contributions lie in developing integrated systems that combine stereo vision, sound source localization, and network-based interfaces to enable autonomous service robots to perceive and respond to human commands in complex, real-world environments. His 2009 work on "Combined 2-D sound source localization with stereo vision" (5 citations) introduced a novel 3D localization method that significantly improved a robot’s ability to identify and interact with human speakers, laying groundwork for more natural HRI. In parallel, his paper on "Network-based multimodal Human-Robot Interactions in ubiquitous computing environment" (4 citations) demonstrated how robots could leverage distributed sensors and network connectivity to deliver context-aware services, bridging direct and indirect interaction paradigms. Though his citation counts are modest, Cheng’s research is notable for its early integration of multiple sensory modalities and its practical application in service robotics, particularly for elderly care and assistive technologies. His work remains a foundational reference for engineers developing socially intelligent robots that operate seamlessly within human-centered, networked spaces.
Research Focus
Key Achievements
Top Papers
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