3,572 research outputs found
An Overview of Blockchain Integration with Robotics and Artificial Intelligence
Blockchain technology is growing everyday at a fast-passed rhythm and it's
possible to integrate it with many systems, namely Robotics with AI services.
However, this is still a recent field and there isn't yet a clear understanding
of what it could potentially become. In this paper, we conduct an overview of
many different methods and platforms that try to leverage the power of
blockchain into robotic systems, to improve AI services or to solve problems
that are present in the major blockchains, which can lead to the ability of
creating robotic systems with increased capabilities and security. We present
an overview, discuss the methods and conclude the paper with our view on the
future of the integration of these technologies.info:eu-repo/semantics/draf
An Overview of Blockchain Integration with Robotics and Artificial Intelligence
Blockchain technology is growing everyday at a fast-passed rhythm and it is possible
to integrate it with many systems, namely Robotics with AI services. However, this is still
a recent field and there is not yet a clear understanding of what it could potentially become.
In this paper, we conduct an overview of many different methods and platforms that try to
leverage the power of blockchain into robotic systems, to improve AI services, or to solve
problems that are present in the major blockchains, which can lead to the ability of creating
robotic systems with increased capabilities and security. We present an overview, discuss
the methods, and conclude the paper with our view on the future of the integration of these
technologies.info:eu-repo/semantics/publishedVersio
An Overview of Blockchain Integration with Robotics and Artificial Intelligence
Blockchain technology is growing everyday at a fast-passed rhythm and it is possible to integrate it with many systems, namely Robotics with AI services. However, this is still a recent field and there is not yet a clear understanding of what it could potentially become. In this paper, we conduct an overview of many different methods and platforms that try to leverage the power of blockchains into robotic systems, to improve AI services, or to solve problems that are present in the major blockchains, which can lead to the ability of creating robotic systems with increased capabilities and security. We present an overview, discuss the methods, and conclude the paper with our view on the future of the integration of these technologies
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
RobotChain: Artificial Intelligence on a Blockchain using Tezos Technology
Blockchain technology is not only growing everyday at a fast-passed rhythm, but it is also a disruptive technology that has changed how we look at financial transactions. By providing a way
to trust an unknown network and by allowing us to conduct transactions without the need for a
central authority, blockchain has grown exponentially. Moreover, blockchain also provides decentralization of the data, immutability, accessibility, non-repudiation and irreversibility properties that makes this technology a must in many industries. But, even thought blockchain
provides interesting properties, it has not been extensively used outside the financial scope.
Similarly, robots have been increasingly used in factories to automate tasks that range from
picking objects, to transporting them and also to work collaboratively with humans to perform
complex tasks. It is important to enforce that robots act between legal and moral boundaries
and that their events and data are securely stored and auditable. This rarely happens, as robots
are programmed to do a specific task without certainty that that task will always be performed
correctly and their data is either locally stored, without security measures, or disregarded. This
means that the data, especially logs, can be altered, which means that robots and manufacturers can be accused of problems that they did not cause. Henceforth, in this work, we sought
to integrate blockchain with robotics with the goal to provide enhanced security to robots, to
the data and to leverage artificial intelligence algorithms. By doing an extensive overview of
the methods that integrate blockchain and artificial intelligence or robotics, we found that this
is a growing field but there is a lack of proposals that try to improve robotic systems by using
blockchain. It was also clear that most of the existing proposals that integrate artificial intelligence and blockchain, are focused on building marketplaces and only use the latter to storage
transactions. So, in this document, we proposed three different methods that use blockchain
to solve different problems associated with robots. The first one is a method to securely store
robot logs in a blockchain by using smart-contracts as storage and automatically detect when
anomalies occur in a robot by using the data contained in the blockchain and a smart-contract.
By using smart-contracts, it is assured that the data is secure and immutable as long as the
blockchain has enough peers to participate in the consensus process. The second method goes
beyond registering events to also register information about external sensors, like a camera,
and by using smart-contracts to allow Oracles to interact with the blockchain, it was possible to
leverage image analysis algorithms that can detect the presence of material to be picked. This
information is then inserted into a smart-contract that automatically defines the movement that
a robot should have, regarding the number of materials present to be picked. The third proposal
is a method that uses blockchain to store information about the robots and the images derived
from a Kinect. This information is then used by Oracles that check if there is any person located
inside a robot workspace. If there is any, this information is stored and different Oracles try to
identify the person. Then, a smart-contract acts appropriately by changing or even stopping the
robot depending on the identity of the person and if the person is located inside the warning or
the critical zone surrounding the robot.
With this work, we show how blockchain can be used in robotic environments and how it
can beneficial in contexts where multi-party cooperation, security, and decentralization of the
data is essential. We also show how Oracles can interact with the blockchain and distributively
cooperate to leverage artificial intelligence algorithms to perform analysis in the data that
allow us to detect robotic anomalies, material in images and the presence of people. We also show that smart-contracts can be used to perform more tasks than just serve the purpose of
automatically do monetary transactions. The proposed architectures are modular and can be
used in multiple contexts such as in manufacturing, network control, robot control, and others
since they are easy to integrate, adapt, maintain and extend to new domains. We expect
that the intersection of blockchain and robotics will shape part of the future of robotics once
blockchain is more widely used and easy to integrate. This integration will be very prominent
in tasks where robots need to behave under certain constraints, in swarm robotics due to the
fact that blockchain offers global information and in factories because the actions undertaken
by a robot can easily be extended to the rest of the robots by using smart-contracts.Hoje em dia Ă© possĂvel ver que a blockchain nĂŁo está apenas a crescer a um ritmo exponencial, mas que Ă© tambĂ©m uma tecnologia disruptiva que mudou a forma como trabalhamos com
transações financeiras. Ao fornecer uma maneira eficiente de confiar numa rede desconhecida
e de permitir realizar transações sem a necessidade de uma autoridade central, a blockchain
cresceu rapidamente. Além disso, a blockchain fornece também descentralização de dados,
imutabilidade, acessibilidade, não-repúdio e irreversibilidade, o que torna esta tecnologia indispensável em muitos setores. Mas, mesmo fornecendo propriedades interessantes, a blockchain não tem sido amplamente utilizada fora do âmbito financeiro. Da mesma forma, os robôs
têm sido cada vez mais utilizados em fábricas para automatizar tarefas que vão desde pegar
objetos, transportá-los e colaborar com humanos para realizar tarefas complexas. Porém, é
importante impor que os robĂ´s atuem entre certos limites legais e morais e que seus eventos
e dados são armazenados com segurança e que estes possam ser auditáveis. O problema é que
isso raramente acontece. Os robĂ´s sĂŁo programados para executar uma tarefa especĂfica sem
se ter total certeza de que essa tarefa irá ser executada sempre de maneira correta, e os seus
dados são armazenados localmente, desconsiderando a segurança dos dados. Sendo que em
muitas ocasiões, não existe qualquer segurança. Isso significa que os dados, especialmente os
logs, podem ser alterados, o que pode resultar em que os robĂ´s e, pela mesma linha de pensamento, os fabricantes, possam ser acusados de problemas que nĂŁo causaram. Tendo isto em
consideração, neste trabalho, procuramos integrar a blockchain com a robótica, com o objetivo
de proporcionar maior segurança aos robôs e aos dados que geram e potenciar ainda a utilização de algoritmos de inteligência artificial. Fazendo uma visão abrangente dos métodos que
propõem integrar a blockchain e inteligência artificial ou robótica, descobrimos que este é um
campo em crescimento, mas que há uma falta de propostas que tentem melhorar os sistemas
robóticos utilizando a blockchain. Ficou também claro que a maioria das propostas existentes
que integram inteligência artificial e blockchain estão focadas na construção de marketplaces e
só utilizam a blockchain para armazenar a informação sobre as transações que foram executadas. Assim, neste documento, propomos três métodos que utilizam a blockchain para resolver
diferentes problemas associados a robôs. O primeiro é um método para armazenar, com segurança, logs de robôs dentro de uma blockchain, utilizando para isso smart-contracts como
armazenamento. Neste método foi também proposta uma maneira de detetar anomalias em
robĂ´s automaticamente, utilizando para isso os dados contidos na blockchain e smart-contracts
para definir a lógica do algoritmo. Ao utilizar smart-contracts, é garantido que os dados são seguros e imutáveis, desde que a blockchain contenha nós suficientes a participar no algoritmo de
consenso. O segundo método vai além de registar eventos, para registar também informações
sobre sensores externos, como uma câmara, e utilizando smart-contracts para permitir que Ă“raculos interajam com a blockchain, foi possĂvel utilizar algoritmos de análise de imagens, que
podem detetar a presença de material para ser recolhido. Esta informação é então inserida
num smart-contract que define automaticamente o movimento que um robĂ´ deve ter, tendo
em consideração a quantidade de material à espera para ser recolhida. A terceira proposta é
um método que utiliza a blockchain para armazenar informações sobre robôs, e imagens provenientes de uma Kinect. Esta informação é então utilizada por Óraculos que verificam se existe
alguma pessoa dentro do um espaço de trabalho de um robô. Se existir alguém, essa informação
Ă© armazenada e diferentes Ă“raculos tentam identificar a pessoa. No fim, um smart-contract
age apropriadamente, mudando ou até mesmo parando o robô, dependendo da identidade da Com este trabalho, mostramos como a blockchain pode ser utilizada em ambientes onde existam robôs e como esta pode ser benéfica em contextos onde a cooperação entre várias entidades, a segurança e a descentralização dos dados são essenciais. Mostramos também como
Ă“raculos podem interagir com a blockchain e cooperar de forma distribuĂda, para alavancar
algoritmos de inteligência artificial de forma a realizar análises nos dados, o que nos permite
detetar anomalias robóticas, material para ser recolhido e a presença de pessoas em imagens.
Mostramos também que os smart-contracts podem ser utilizados para executar mais tarefas do
que servir o propósito de fazer transações monetárias de forma automática. As arquiteturas
propostas neste trabalho são modulares e podem ser utilizadas em vários contextos, como no
fabrico de peças, controle de robô e outras. Devido ao facto de que as arquiteturas propostas,
sĂŁo fáceis de integrar, adaptar, manter e estender a novos domĂnios. A nossa opiniĂŁo Ă© que a
interseção entre a blockchain e a robótica irá moldar parte do futuro da robótica moderna assim
que a blockchain seja mais utilizada e fácil de integrar em sistemas robóticos. Esta integração
será muito proeminente em tarefas onde os robôs precisam de se comportar sob certas restrições, em enxames de robôs, devido ao fato de que a blockchain fornece informação global sobre
o estado da rede, e também em fábricas, porque as ações realizadas por um robô podem ser
facilmente estendidas ao resto dos robôs, e porque fornece um mecanismo extra de segurança
aos dados e a todas as ações que são efetuadas com ajuda de smart-contracts
FinTech ecosystem as an instrument of sustainable development provision
Purpose: The article aims to determine the relationship between the FinTech ecosystem and ensuring a stable path of economic growth in the context of digitalization. The transition to digitalization of the financial sector is accompanied by a fundamentally new, qualitative transformation of socioeconomic relations in society. Design/Methodology/Approach: As part of the study, the concept of FinTech was considered both in the context of technological innovation and in the context of companies utilizing these innovations in business, as well as the systematization of business models of the FinTech industry. The classification of horizontal and vertical innovations of the financial industry is given. The authors presented the structure of the FinTech ecosystem as an instrument for ensuring sustainable. Findings: For the successful development of the FinTech ecosystem, the authors of the study presented a number of initiatives, the implementation of which will ensure the maintenance of the financial system stability, protection of consumer rights, as well as the digital innovations’ development and implementation. Practical Implications: The formation of a sustainable digital financial infrastructure tends to ensure the effective provision of services in the financial market, including for small and medium-sized companies, which will increase the availability of financial services and promote competition in the financial sector. Originality/Value: The key contribution of the study is the ecosystem approach, which allowed determining the possibilities of safe sustainable development of the financial sector.peer-reviewe
Controlling Robots using Artificial Intelligence and a Consortium Blockchain
Blockchain is a disruptive technology that is normally used within financial
applications, however it can be very beneficial also in certain robotic
contexts, such as when an immutable register of events is required. Among the
several properties of Blockchain that can be useful within robotic
environments, we find not just immutability but also decentralization of the
data, irreversibility, accessibility and non-repudiation. In this paper, we
propose an architecture that uses blockchain as a ledger and smart-contract
technology for robotic control by using external parties, Oracles, to process
data. We show how to register events in a secure way, how it is possible to use
smart-contracts to control robots and how to interface with external Artificial
Intelligence algorithms for image analysis. The proposed architecture is
modular and can be used in multiple contexts such as in manufacturing, network
control, robot control, and others, since it is easy to integrate, adapt,
maintain and extend to new domains.info:eu-repo/semantics/submittedVersio
An Overview of Artificial Intelligence (AI) in 6G: Types, Advantages, Challenges and Recent Applications
The world is on the cusp of a new communications revolution. The next generation of communication networks, known as 6G, will enable a wide range of new applications and services that are not possible with current 4G or 5G networks. In overview, we will review Artificial Intelligence (AI) Types, Advantages, challenges and some of the most promising applications of 6G technology. Some of the key applications that are being developed for 6G communication networks include Digital Twin (DT), Holograms, Robot Avatar, High Density (IoT), and AR & VR. The use of these applications in 6G communication networks is not a new concept, but integration to 6G will need more improvements. These applications have been around for some time now and have seen various improvements over the years. However, with the advent of 6G communication networks, the use of AR and VR is expected to see a drastic change. This paper contributes to the existing literature about the nature of 6G and applications to give more understanding and further discussion in potential and new trends
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
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