触觉知觉
机器人
触觉传感器
机器人学
人工智能
人机交互
转化式学习
计算机科学
范围(计算机科学)
感知
压阻效应
工程类
人机交互
认知机器人学
主动感知
电容感应
动作(物理)
接口(物质)
群机器人
作者
Shan Luo,Nathan F. Lepora,Wenzhen Yuan,Kaspar Althoefer,Gordon Cheng,Ravinder Dahiya
标识
DOI:10.1109/tro.2025.3608686
摘要
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 utilize 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.
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