iRobot-Factory: An intelligent robot factory based on cognitive manufacturing and edge computing

Hu, Long; Miao, Yiming; Wu, Guang; Hassan, Mohammad Mehedi; Humar, Iztok

doi:10.1016/j.future.2018.08.006

Cited by 142 publications

(66 citation statements)

References 29 publications

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“…This research by others encompasses cognitive flexibility and efficiency in terms of brain entropy and applies information-theoretic constructs including information, information entropy ( H ), relative entropy ( D ), and transfer entropy ( TE ) [ 9 , 10 , 11 , 12 , 13 ]. Thus, this paper is consistent with the practice of referring to cognitive science to inform the development of production systems [ 14 , 15 , 16 , 17 , 18 , 19 ]. However, it is novel in addressing the need to combine flexibility and efficiency for persistent sustainability in terms of cognitive functioning modelled with information theory.…”

Section: Introductionsupporting

confidence: 83%

An Information-Theoretic Analysis of Flexible Efficient Cognition for Persistent Sustainable Production

Fox

Kotelba

2020

Entropy

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Amidst certainty, efficiency can improve sustainability by reducing resource consumption. However, flexibility is needed to be able to survive when uncertainty increases. Apropos, sustainable production cannot persist in the long-term without having both flexibility and efficiency. Referring to cognitive science to inform the development of production systems is well established. However, recent research in cognitive science encompassing flexibility and efficiency in brain functioning have not been considered previously. In particular, research by others that encompasses information (I), information entropy (H), relative entropy (D), transfer entropy (TE), and brain entropy. By contrast, in this paper, flexibility and efficiency for persistent sustainable production is analyzed in relation to these information theory applications in cognitive science and is quantified in terms of information. Thus, this paper is consistent with the established practice of referring to cognitive science to inform the development of production systems. However, it is novel in addressing the need to combine flexibility and efficiency for persistent sustainability in terms of cognitive functioning as modelled with information theory.

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Section: Introductionsupporting

confidence: 83%

An Information-Theoretic Analysis of Flexible Efficient Cognition for Persistent Sustainable Production

Fox

Kotelba

2020

Entropy

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“…Resource cognition engine includes SDN (Software defined network), NFV (Network function virtualization), SON (Self-organizing network), network slicing technologies. [15] give a detailed description of these two engines.…”

Section: Cognitive Enginementioning

confidence: 99%

Smart-Edge-CoCaCo: AI-Enabled Smart Edge with Joint Computation, Caching, and Communication in Heterogeneous IoT

et al. 2019

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The development of mobile communication technology, hardware, distributed computing, and artificial intelligence (AI) technology has promoted the application of edge computing in the field of heterogeneous Internet of Things (IoT). In order to overcome the defects of the traditional cloud computing model in the era of big data. In this article, we first propose a new AIenabled smart edge with heterogeneous IoT architecture which combines edge computing, caching, and communication. Then, we propose the Smart-Edge-CoCaCo algorithm. To minimize total delay and confirm the computation offloading decision, Smart-Edge-CoCaCo uses joint optimization of the wireless communication model, the collaborative filter caching model in edge cloud, and the computation offloading model. Finally, we built an emotion interaction testbed to perform computational delay experiments in real environments. The experiment results showed that the computation delay of the Smart-Edge-CoCaCo algorithm is lower than that of traditional cloud computing model with the increase of computing task data and the number of concurrent users.

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“…By reasoning on and inferring knowledge from experience, cognitive robots are able to understand the relationship between themselves and the environment, between objects, and to assess the possible impact of their actions. In an intelligent factory, introducing edge computing is conducive to expanding the computing resources, the network bandwidth, and the storage capacity of the cloud platform to the IoT edge, as well as realizing the resource scheduling and data uplink and downlink processing during the manufacturing and production processes [27].…”

Section: ) Cognitive Abilitymentioning

confidence: 99%

“…In this sense, collaborative robots developed purposely for performing manufacturing tasks have emerged as an attractive solution to the problem. The added value of IoT in cognitive ability is that the emotion recognition and interaction of the Affective Interaction Intelligence Robot (iRobot), with the IoT cloud platform as the infrastructure and AI technology as the core competitiveness, can improved both the chip assembly and the production efficiency [27].…”

Section: ) Cognitive Abilitymentioning

confidence: 99%

Research toward IoT and Robotics in Intelligent Manufacturing: A Survey

Liu¹

2019

IJMMM

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The Internet of Robotic Things is an emerging vision that brings together pervasive sensors and objects with robotic and autonomous systems. This survey examines how the merger of robotic and Internet of Things technologies will advance intelligent manufacturing, thus enabling the creation of new, potentially disruptive services. This paper discusses some of the new technological challenges created by this merger and concludes that a truly holistic view is needed but currently lacking.

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iRobot-Factory: An intelligent robot factory based on cognitive manufacturing and edge computing

Cited by 142 publications

References 29 publications

An Information-Theoretic Analysis of Flexible Efficient Cognition for Persistent Sustainable Production

An Information-Theoretic Analysis of Flexible Efficient Cognition for Persistent Sustainable Production

Smart-Edge-CoCaCo: AI-Enabled Smart Edge with Joint Computation, Caching, and Communication in Heterogeneous IoT

Research toward IoT and Robotics in Intelligent Manufacturing: A Survey

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