arXiv:2508.11261cs.RO2025-08中稿 · IEEE Transactions …被引 46

让机器人像人一样用触觉感知世界,推动人机协作新发展

Tactile Robotics: An Outlook

  • 融合多种传感器与仿真数据,构建分布式触觉感知系统
  • 触觉与视觉等多模态结合,提升机器人主动感知能力
  • 面向制造、医疗等场景,推动跨领域技术革新

机器人研究长期致力于赋予机器人类似生物系统的触觉感知能力,以支持其在人类密切共存与互动的新兴应用中发挥作用。近年来,触觉传感技术迅速发展,涌现出压阻式、压电式、电容式、磁性及光学触觉传感器等多种技术,通过不同的转换机制与材料实现分布式感知,增强机器人物理交互能力。近年仿真工具生成大规模触觉数据集,有力支撑传感器设计与算法开发。触觉感知与视觉等模态的融合,以及与主动感知策略的结合,进一步拓展了该领域的应用边界。本文展望当前触觉机器人技术面临的挑战,探讨潜在解决方案,旨在推动制造、医疗、回收和农业等多个领域的创新突破。

原文摘要 · Abstract (English)

Robotics research has long sought to give robots the ability to perceive the physical world through touch in an analogous manner to many biological systems. Developing such tactile capabilities is important for numerous emerging applications that require robots to co-exist and interact closely with humans. Consequently, there has been growing interest in tactile sensing, leading to the development of various technologies, including piezoresistive and piezoelectric sensors, capacitive sensors, magnetic sensors, and optical tactile sensors. These diverse approaches utilise different transduction methods and materials to equip robots with distributed sensing capabilities, enabling more effective physical interactions. These advances have been supported in recent years by simulation tools that generate large-scale tactile datasets to support sensor designs and algorithms to interpret and improve the utility of tactile data. The integration of tactile sensing with other modalities, such as vision, as well as with action strategies for active tactile perception highlights the growing scope of this field. To further the transformative progress in tactile robotics, a holistic approach is essential. In this outlook article, we examine several challenges associated with the current state of the art in tactile robotics and explore potential solutions to inspire innovations across multiple domains, including manufacturing, healthcare, recycling and agriculture.

触觉机器人多模态感知人机协作仿生感知

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