Internet of robotic things : converging sensing/actuating, hypoconnectivity, artificial intelligence and IoT Platforms

The Internet of Things (IoT) concept is evolving rapidly and influencing newdevelopments in various application domains, such as the Internet of MobileThings (IoMT), Autonomous Internet of Things (A-IoT), Autonomous Systemof Things (ASoT), Internet of Autonomous Things (IoAT), Internetof Things Clouds (IoT-C) and the Internet of Robotic Things (IoRT) etc.that are progressing/advancing by using IoT technology. The IoT influencerepresents new development and deployment challenges in different areassuch as seamless platform integration, context based cognitive network integration,new mobile sensor/actuator network paradigms, things identification(addressing, naming in IoT) and dynamic things discoverability and manyothers. The IoRT represents new convergence challenges and their need to be addressed, in one side the programmability and the communication ofmultiple heterogeneous mobile/autonomous/robotic things for cooperating,their coordination, configuration, exchange of information, security, safetyand protection. Developments in IoT heterogeneous parallel processing/communication and dynamic systems based on parallelism and concurrencyrequire new ideas for integrating the intelligent “devices”, collaborativerobots (COBOTS), into IoT applications. Dynamic maintainability, selfhealing,self-repair of resources, changing resource state, (re-) configurationand context based IoT systems for service implementation and integrationwith IoT network service composition are of paramount importance whennew “cognitive devices” are becoming active participants in IoT applications.This chapter aims to be an overview of the IoRT concept, technologies,architectures and applications and to provide a comprehensive coverage offuture challenges, developments and applications

Internet of Robotic Things Intelligent Connectivity and Platforms

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.publishedVersio

The Evolution of 5G Communications within the Scope of the Fourth Industrial Revolution

A Quarta Revolução Industrial é uma consequência da última transformação digital e consiste na substituição de seres humanos por robôs. Está associada à utilização massiva de robôs, inteligência artificial, grandes dados, Internet das Coisas (IoT), computação quântica ou impressão 3D. A transformação digital e a transformação ambiental estão amplamente associadas, uma vez que a primeira permite uma utilização mais eficiente dos recursos, o que tende a reduzir a pegada de carbono, e permite a geração de energias renováveis. A Quinta Geração de Comunicações Celulares (5G) é disruptiva, uma vez que consiste numa mudança de paradigma relacionado com as gerações anteriores. As Comunicações 5G dão uma forte contribuição para a implementação da Quarta Revolução Industrial numa vasta gama de áreas, tais como em veículos autónomos, cidades inteligentes, indústrias e agricultura inteligentes, cirurgias remotas, etc. Enquanto as comunicações 5G visam implementar alguns dos requisitos da Quarta Revolução Industrial, a Sexta Geração de Comunicações Celulares (6G), prevista para 2030, visa complementar essa implementação de uma forma mais profunda.The Fourth Industrial Revolution is a consequence of the latest digital transformation and consists of the replacement of humans by robots. It is associated to the massive use of robots, artificial intelligence, big data, Internet of Things (IoT), quantum computing or 3D printing. Digital transformation and environmental transformation are widely associated as the former allows a more efficient use of the resources, which tends to reduce the carbon footprint, and allows the generation of renewable energies. The Fifth Generation of Cellular Communications (5G) is disruptive, as it consists of a change of paradigm relating to the previous generations. 5G Communications give a strong contribution to the implementation of the Fourth Industrial Revolution in a wide range of areas, such as in autonomous vehicles, smart cities, smart industries and agriculture, remote surgeries, etc. While 5G communications aim to implement some of the requirements of the Fourth Industrial Revolution, the Sixth Generation of Cellular Communications (6G), expected by 2030, aims to complement such implementation in a deeper manner.La Cuarta Revolución Industrial es una consecuencia de la última transformación digital y consiste en la sustitución de los humanos por robots. Está asociada al uso masivo de robots, inteligencia artificial, big data, Internet de las Cosas (IoT), computación cuántica o impresión 3D. La transformación digital y la transformación medioambiental están ampliamente asociadas ya que la primera permite un uso más eficiente de los recursos, lo que tiende a reducir la huella de carbono, y permite la generación de energías renovables. La Quinta Generación de Comunicaciones Celulares (5G) es disruptiva, ya que consiste en un cambio de paradigma respecto a las generaciones anteriores. Las comunicaciones 5G contribuyen fuertemente a la implementación de la Cuarta Revolución Industrial en una amplia gama de áreas, como en los vehículos autónomos, las ciudades inteligentes, las industrias y la agricultura inteligentes, las cirugías a distancia, etc. Mientras que las comunicaciones 5G pretenden implementar algunos de los requisitos de la Cuarta Revolución Industrial, la Sexta Generación de Comunicaciones Celulares (6G), prevista para 2030, pretende complementar dicha implementación de manera más profunda.info:eu-repo/semantics/acceptedVersio

6G White Paper on Edge Intelligence

In this white paper we provide a vision for 6G Edge Intelligence. Moving towards 5G and beyond the future 6G networks, intelligent solutions utilizing data-driven machine learning and artificial intelligence become crucial for several real-world applications including but not limited to, more efficient manufacturing, novel personal smart device environments and experiences, urban computing and autonomous traffic settings. We present edge computing along with other 6G enablers as a key component to establish the future 2030 intelligent Internet technologies as shown in this series of 6G White Papers. In this white paper, we focus in the domains of edge computing infrastructure and platforms, data and edge network management, software development for edge, and real-time and distributed training of ML/AI algorithms, along with security, privacy, pricing, and end-user aspects. We discuss the key enablers and challenges and identify the key research questions for the development of the Intelligent Edge services. As a main outcome of this white paper, we envision a transition from Internet of Things to Intelligent Internet of Intelligent Things and provide a roadmap for development of 6G Intelligent Edge