Dihu Chen
Papers
3
Total Citations
29
H-Index
3
About
Dihu Chen is a rising researcher at the intersection of advanced materials, flexible electronics, and intelligent perception systems. Their work centers on developing high-performance sensors and 3D perception algorithms for applications in human motion detection, soft robotics, and autonomous driving. Chen’s most cited paper (19 citations, 2024) introduces a piezoresistive sensor based on a TPU/c-MWCNTs/V₂CTₓ-MXene electrospun film, achieving exceptional sensitivity for human motion monitoring. This contribution addresses the critical need for wearable, high-sensing-performance devices. In parallel, Chen proposed HybridPillars (6 citations, 2024), a novel two-stage 3D object detection network that fuses point and pillar features for real-time LiDAR perception—a key advancement for autonomous driving and robotics. Another notable work (4 citations, 2024) presents superflexible carbon nanofiber sensors capable of detecting multidimensional complex deformations in soft robots, overcoming the limitations of previous single-direction sensing approaches. Together, these contributions demonstrate Chen’s ability to bridge materials innovation with practical sensing and perception systems, offering impactful solutions for wearable technology, intelligent transportation, and soft robotics. Their work is already gaining recognition for its novelty and real-world applicability.
Research Focus
Key Achievements
Top Papers
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