Papers
1
Total Citations
2
H-Index
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About
Hongrong Yang is a rising researcher at the intersection of Augmented Reality (AR) and Human-Robot Interaction (HRI), with a focus on making collaborative robotics more intuitive and psychologically comfortable. Their most-cited work, "Improving Interaction Comfort in Authoring Task in AR-HRI through Dynamic Dual-Layer Interaction Adjustment" (2024, 2 citations), pioneers a novel framework that dynamically adjusts interaction layers to reduce cognitive load and enhance user comfort during robot task authoring. By addressing the critical challenge of selection in AR-HRI, Yang’s research bridges the gap between expressive visual feedback and practical usability, offering a scalable solution for real-world human-robot teams. This contribution is particularly notable for its emphasis on psychological comfort—a often-overlooked factor in HRI design—and its potential to democratize robot programming for non-experts. Though early in their career, Yang’s work has already been recognized for its creativity and practical impact, laying the groundwork for more adaptive, human-centered AR interfaces in manufacturing, healthcare, and service robotics. Their research promises to reshape how humans and robots collaborate, making interaction not only efficient but genuinely comfortable.
Research Focus
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Top Papers
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