arXiv:2608.20817cs.CRcs.RO2026-08中稿 · ACM CCS 2026

用电磁干扰无接触操控触觉传感器,可能引发机器人误操作

GhostTac: Manipulating Tactile Sensors without Physical Contact

论文配图:GhostTac: Manipulating Tactile Sensors without Physical Contact
图 1 · 摘自论文原文
  • 利用电磁干扰的非线性整流效应,生成持久直流偏移
  • 在10种传感器和2个灵巧手上均实现稳定干扰,效果一致
  • 可导致机器人抓取过力,威胁人身安全,适合安全研究者关注

触觉传感器是现代机器人系统的关键组件,使机器人能通过触觉反馈感知并交互物理环境。然而,以往研究对触觉传感器的物理层安全关注不足。本文首次提出GhostTac,一种基于电磁干扰(EMI)的无接触触觉传感攻击。我们发现,EMI通过非线性整流与有限带宽放大效应,将精心设计的干扰信号转化为持续的直流偏移,绕过板载滤波,引发稳定的测量偏差。基于此机制,GhostTac可精细控制目标位置的信号幅度与空间分布,实现对传感器输出的可控操纵。该干扰可诱发机器人产生意外且有害的行为,例如导致家用机器人施加过大抓力,造成设备损坏或人员受伤。我们在10个传感器模块和2个灵巧手上测试了15种不同类型的触觉传感器,验证了攻击在所有设备上的一致有效性。此外,通过三个案例研究——触觉抓取、滑动检测与材料分类,展示了其在真实机器人任务中的实际影响。本研究揭示了机器人触觉感知的新物理攻击路径。

原文摘要 · Abstract (English)

Tactile sensors are integral components of modern robotic systems, enabling robots to perceive and interact with the physical environment through tactile feedback. Despite their importance, the physical-layer security of tactile sensors has received little attention in prior work. In this paper, we present GhostTac, to the best of our knowledge, the first contactless attack that manipulates tactile sensing via electromagnetic interference (EMI). We identify that EMI exploits the nonlinear rectification and limited bandwidth amplification effects, allowing carefully crafted EMI signals to be converted into a persistent DC offset that bypasses on-board filtering and induces stable measurement deviations. Building on this mechanism, GhostTac enables fine-grained and controllable manipulation of sensor outputs by reshaping the spatial distribution and manipulating the magnitude at the targeted location. Such interference can induce unintended and harmful robot behaviors, such as causing a domestic robot to exert excessive force, resulting in physical damage or human injury. We evaluate GhostTac on 10 sensor modules and 2 dexterous hands, covering 15 tactile sensors of different types, and demonstrate consistent attack effectiveness across all tested devices. We further present three case studies on tactile grasping, slip detection, and material classification to illustrate practical impacts in real robotic tasks. We envision that our findings shed light on a new physical attack vector against tactile sensing in robotic systems.

触觉安全电磁干扰机器人攻击物理安全

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