arXiv:2511.06311cs.RO2025-11被引 1

用外部光学模块感知软机器人表面变形,实现无损力觉反馈。

External Photoreflective Tactile Sensing Based on Surface Deformation Measurement

  • 外部光学模块读取硅胶皮肤形变,不需嵌入传感器。
  • 实验显示力-输出关系单调,迟滞小,重复性高,响应快。
  • 适合对柔软性、易维护性要求高的柔性机器人应用。

我们提出一种基于软机器人机械柔性的触觉感知方法:通过外置可附加的光反射模块,读取硅胶皮肤表面形变以估算接触力,无需在接触面嵌入触觉传感器。将传感器置于接触界面之外,降低损伤风险,保持柔软性,并简化制造与维护。首先表征了光学传感元件和柔性皮肤,进而确定原型触觉传感器的设计。压缩实验验证该方法,表现出与理论一致的单调力输出关系,低迟滞、高重复性及小响应压痕速度。进一步在软体机械臂上实现集成,模块能可靠检测抓握事件。相比充液或嵌线式触觉皮肤,该模块化附加架构提升了耐用性,减少布线复杂度,支持在多种机器人结构上快速部署。由于传感原理基于皮肤应变模式,未来还可拓展至关节角度或执行器状态等其他本体感觉信号估计。总体而言,利用表面柔顺性配合外部光学模块,为柔性机器人提供力觉感知提供了实用且鲁棒的方案,同时保持结构灵活性与可制造性,推动机器人应用与人机安全协作的发展。

原文摘要 · Abstract (English)

We present a tactile sensing method enabled by the mechanical compliance of soft robots; an externally attachable photoreflective module reads surface deformation of silicone skin to estimate contact force without embedding tactile transducers. Locating the sensor off the contact interface reduces damage risk, preserves softness, and simplifies fabrication and maintenance. We first characterize the optical sensing element and the compliant skin, thendetermine the design of a prototype tactile sensor. Compression experiments validate the approach, exhibiting a monotonic force output relationship consistent with theory, low hysteresis, high repeatability over repeated cycles, and small response indentation speeds. We further demonstrate integration on a soft robotic gripper, where the module reliably detects grasp events. Compared with liquid filled or wireembedded tactile skins, the proposed modular add on architecture enhances durability, reduces wiring complexity, and supports straightforward deployment across diverse robot geometries. Because the sensing principle reads skin strain patterns, it also suggests extensions to other somatosensory cues such as joint angle or actuator state estimation from surface deformation. Overall, leveraging surface compliance with an external optical module provides a practical and robust route to equip soft robots with force perception while preserving structural flexibility and manufacturability, paving the way for robotic applications and safe human robot collaboration.

触觉传感柔性机器人光学感知力觉反馈

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