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机器人物联网:智能连接与平台

Internet of Robotic Things Intelligent Connectivity and Platforms.

作者信息

Vermesan Ovidiu, Bahr Roy, Ottella Marco, Serrano Martin, Karlsen Tore, Wahlstrøm Terje, Sand Hans Erik, Ashwathnarayan Meghashyam, Gamba Micaela Troglia

机构信息

SINTEF Digital AS, Oslo, Norway.

Infineon Technologies Austria AG, Villach, Austria.

出版信息

Front Robot AI. 2020 Sep 25;7:104. doi: 10.3389/frobt.2020.00104. eCollection 2020.

Abstract

The Internet of Things (IoT) and Industrial IoT (IIoT) have developed rapidly in the past few years, as both the Internet and "things" have evolved significantly. "Things" now range from simple Radio Frequency Identification (RFID) devices to smart wireless sensors, intelligent wireless sensors and actuators, robotic things, and autonomous vehicles operating in consumer, business, and industrial environments. The emergence of "intelligent things" (static or mobile) in collaborative autonomous fleets requires new architectures, connectivity paradigms, trustworthiness frameworks, and platforms for the integration of applications across different business and industrial domains. These new applications accelerate the development of autonomous system design paradigms and the proliferation of the Internet of Robotic Things (IoRT). In IoRT, collaborative robotic things can communicate with other things, learn autonomously, interact safely with the environment, humans and other things, and gain qualities like self-maintenance, self-awareness, self-healing, and fail-operational behavior. IoRT applications can make use of the individual, collaborative, and collective intelligence of robotic things, as well as information from the infrastructure and operating context to plan, implement and accomplish tasks under different environmental conditions and uncertainties. The continuous, real-time interaction with the environment makes perception, location, communication, cognition, computation, connectivity, propulsion, and integration of federated IoRT and digital platforms important components of new-generation IoRT applications. This paper reviews the taxonomy of the IoRT, emphasizing the IoRT intelligent connectivity, architectures, interoperability, and trustworthiness framework, and surveys the technologies that enable the application of the IoRT across different domains to perform missions more efficiently, productively, and completely. The aim is to provide a novel perspective on the IoRT that involves communication among robotic things and humans and highlights the convergence of several technologies and interactions between different taxonomies used in the literature.

摘要

在过去几年中,物联网(IoT)和工业物联网(IIoT)发展迅速,因为互联网和“物”都发生了显著演变。“物”现在涵盖了从简单的射频识别(RFID)设备到智能无线传感器、智能无线传感器和执行器、机器人设备以及在消费、商业和工业环境中运行的自动驾驶车辆。协作式自主车队中“智能设备”(静态或移动)的出现,需要新的架构、连接模式、可信度框架以及用于跨不同商业和工业领域集成应用的平台。这些新应用加速了自主系统设计模式的发展以及机器人物联网(IoRT)的扩散。在IoRT中,协作式机器人设备可以与其他设备通信、自主学习、与环境、人类和其他设备安全交互,并具备自我维护、自我意识、自我修复和故障安全运行等特性。IoRT应用可以利用机器人设备的个体、协作和集体智能,以及来自基础设施和运行环境的信息,在不同环境条件和不确定性下规划、实施和完成任务。与环境的持续实时交互使得感知、定位、通信、认知、计算、连接、推进以及联合IoRT和数字平台的集成成为新一代IoRT应用的重要组成部分。本文回顾了IoRT的分类法,强调了IoRT的智能连接、架构、互操作性和可信度框架,并调查了使IoRT能够跨不同领域应用以更高效、更有成效和更完整地执行任务的技术。目的是提供一个关于IoRT的新颖视角,涉及机器人设备与人类之间的通信,并突出文献中使用的几种技术的融合以及不同分类法之间的相互作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/830d/7805974/f0640cf48ef1/frobt-07-00104-g0001.jpg

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