Papers
1
Total Citations
2
H-Index
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About
Hanlu Chen is a rising researcher in computational human–object interaction and 3D sensing, with a focus on understanding how the human hand physically engages with the world. Her most cited work introduces a high-resolution, whole-body dataset of hand–object contact areas, captured using an innovative 3D scanning method. This dataset reveals the intricate contact patterns that occur during everyday object manipulation, offering unprecedented detail for analyzing hand operation behaviors. Chen’s contributions directly support the design of more intuitive hand-related sensors, dexterous robotic grippers, and predictive models for object properties based on touch. Though early in her career, her work has already garnered attention for its practical impact on robotics and wearable technology. By bridging biomechanics, computer vision, and tactile sensing, Chen is laying the groundwork for more natural human–machine interfaces and advancing our understanding of the hand’s role in interacting with the physical environment.
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Top Papers
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