Scholarlink

<p>Array-based imaging systems offer unparalleled capabilities for mapping complex environments, but their inherent structural rigidity prevents intimate integration with dynamic, non-rigid hosts such as human skin and soft robots. While flexible visual sensor arrays offer compliance, fabrication constraints severely limit their pixel density and overall resolution. Here, we present SkinSight, a skin-conformal imaging system that overcomes this trade-off through a hybrid “rigid-in-soft” architecture. By integrating miniaturized imagers with stretchable interconnects, SkinSight achieves stable, high-resolution imaging under complex mechanical deformations. Furthermore, to resolve processing challenges induced by continuous deformation, we leverage large-scale pre-trained vision transformers for end-to-end geometric inference. This deformation-adaptive framework no longer relies on rigid structural priors, enabling robust, calibration-free 3D visual perception. We demonstrate seamless integration with human skin, transforming a human palm into a sensory interface capable of perceiving objects beyond the direct line of sight. By augmenting the perceptual capabilities of humans and robots, SkinSight demonstrates broad potential for next-generation wearables and embodied artificial intelligence.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A skin-conformal rigid-in-soft array-based imaging system

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年6月16日

查看全文
  • Xiaoyun Yuan,
  • Jianing Zhang,
  • Youhai Liu,
  • Yichen Wang,
  • Lu Fang

摘要

Array-based imaging systems offer unparalleled capabilities for mapping complex environments, but their inherent structural rigidity prevents intimate integration with dynamic, non-rigid hosts such as human skin and soft robots. While flexible visual sensor arrays offer compliance, fabrication constraints severely limit their pixel density and overall resolution. Here, we present SkinSight, a skin-conformal imaging system that overcomes this trade-off through a hybrid “rigid-in-soft” architecture. By integrating miniaturized imagers with stretchable interconnects, SkinSight achieves stable, high-resolution imaging under complex mechanical deformations. Furthermore, to resolve processing challenges induced by continuous deformation, we leverage large-scale pre-trained vision transformers for end-to-end geometric inference. This deformation-adaptive framework no longer relies on rigid structural priors, enabling robust, calibration-free 3D visual perception. We demonstrate seamless integration with human skin, transforming a human palm into a sensory interface capable of perceiving objects beyond the direct line of sight. By augmenting the perceptual capabilities of humans and robots, SkinSight demonstrates broad potential for next-generation wearables and embodied artificial intelligence.