Integrating tactile sensing capabilities into robot hands is pivotal for enhancing their environmental interaction, enabling tasks requiring dexterity, object recognition, and secure collaboration with humans. Triboelectric nanogenerators (TENGs), distinguished by their self-powered capabilities, present a unique approach to tactile sensing due to their adeptness in converting mechanical stimuli into electrical energy. This paper provides a comprehensive review of recent advancements in TENG-based tactile sensors for robots' hands, highlighting their unique ability to convert mechanical stimuli into electrical energy, making them self-powered. This review is structured around two primary research approaches: basic and applied. Firstly, the basic research domain focuses on the case of extrusion or tensile deformation caused by touch or gripping motion based on TENG, designed for use in force and pressure sensors. The emphasis is on their substantial contribution to enhancing robot intelligence through continuous motion and capturing tactile data. Moving to applied research, the paper delves into various applications of TENG-based tactile sensors in robot hands, encompassing intelligent grasping and sensing, object recognition, texture recognition, multimodal sensing, and Human Machine Interaction (HMI). Finally, the paper outlines opportunities and challenges, providing valuable insights for future advancements in theoretical and applied research.

中文翻译：

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机器人手摩擦电触觉传感器的最新进展


将触觉传感功能集成到机器人手中对于增强其环境交互、实现需要灵活性、物体识别以及与人类安全协作的任务至关重要。摩擦纳米发电机 (TENG) 以其自供电能力而著称，由于其擅长将机械刺激转化为电能，因此提供了一种独特的触觉传感方法。本文全面回顾了基于 TENG 的机器人手触觉传感器的最新进展，强调了它们将机械刺激转化为电能并实现自供电的独特能力。本综述围绕两种主要研究方法：基础研究方法和应用研究方法。首先，基础研究领域侧重于基于 TENG 的触摸或抓握运动引起的挤压或拉伸变形的情况，设计用于力和压力传感器。重点是它们通过连续运动和捕获触觉数据对增强机器人智能做出的重大贡献。转向应用研究，本文深入研究了基于 TENG 的触觉传感器在机器人手中的各种应用，包括智能抓取和传感、物体识别、纹理识别、多模态传感和人机交互 (HMI)。最后，本文概述了机遇和挑战，为理论和应用研究的未来发展提供了宝贵的见解。