A Brief Overview of the Use of Collaborative Robots in Industry 4.0: Human Role and Safety

Bragança, Sara; Costa, Eric; Castellucci, Ignacio; Arezes, Pedro

doi:10.1007/978-3-030-14730-3_68

Cited by 102 publications

(77 citation statements)

References 10 publications

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“…The main challenge and limitation in all cases is the balance between human and automation [5]. Through automation, artificial intelligence and novel sensors, Industry 4.0 will create a new manufacturing and distribution process.…”

Section: Introductionmentioning

confidence: 99%

Trends in Smart Manufacturing: Role of Humans and Industrial Robots in Smart Factories

et al. 2020

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Purpose of Review This paper provides an overview of the role of humans and robots in smart factories, their connection to Industry 4.0, and which progress they make when it comes to related technologies. Recent Findings The current study shows that a decade was not enough to provide a reference implementation or application of Industry 4.0, like smart factories. In 2011, Industry 4.0 was mentioned for the first time in the scientific community. Industry 4.0 arrived with many new enabling technologies and buzzwords, e.g., Internet of Things (IoT), Cyber-Physical Systems (CPS), and Digital Twins (DT). Summary This paper first defines smart factories and smart manufacturing in relation to the role of humans and robots. Followed by an overview of selected technologies in smart factories. Concluded by future prospects and its' relation to smart manufacturing.

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Section: Introductionmentioning

confidence: 99%

Trends in Smart Manufacturing: Role of Humans and Industrial Robots in Smart Factories

et al. 2020

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“…Industry 4.0 is popular and implemented by manufacturers in Europe and America, and if the Indian Engineering Industry must compete or cooperate with them in the international trade there is pressure towards the implementation of Industry 4.0. Industry 4.0 due to real-time monitoring of the processes and products through big data analytics makes the product safe [38], workplace ergonomically appropriate [39], and organizational environmentally safe due to reduced emissions [40]. Therefore, there is a pressure created by the society towards Indian Engineering Industry to implement The normative pressure is created for the implementation of Industry 4.0 in the Indian Engineering Industry.…”

Section: Theoretical Analysismentioning

confidence: 99%

A Resource-Based View and Institutional Theory- based analysis of Industry 4.0 Implementation in the Indian Engineering Industry

Sony

Aithal

2020

IJMTS

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Industry 4.0 is the digital transformation of the organization to meet the organizational goals and objectives. Industry 4.0 is making slow inroads in the Indian Engineering Industry. Therefore, there is a need for a study to understand the dynamics of the implementation in Indian Engineering Industry from a theoretical point of view. This study uses the Institutional Theory and ResourceBased theory to analyse the implementation of Industry 4.0. "Coercive", "normative" and "mimetic" pressure is used to analyse the forces on firms to implement Industry 4.0. Resource-based view is further used to analyse how the "physical, human, organizational, technological, financial and reputational capital" can be used in Indian Engineering Industry to attain competitive advantage. The study also develops a model to understand the dynamics of Industry 4.0 implementation. This is the first study to analyse the dynamics of Industry 4.0 implementation in Indian Engineering Industry. It will help the academicians to enrich the theoretical base of Industry 4.0 implementation. The industry will benefit from this analysis to understand the decision-making process for the implementation of Industry 4.0. The study can be used by the Government to decide policies that formal, informal rules and policies will help the Industries to implement Industry 4.0.

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“…Due to they lack of multi-functional and intelligent capabilities that per- formed and without sufficient external sensing information. In addition, with the widespread application and development of collaborative robots [16,17], robots will gradually move from a traditional closed manufacturing environment to a shared space that coexists and interacts with human [18], from semi-automatic operation tasks to autonomously perform, which inevitably leads to various unpredictable anomalies, such as objects slipping, collisions between end-effector and the environment, human collisions, and system abnormalities. Therefore, in order to give the robot a longer-term autonomy and a safer human-machine collaborative environment, the robot should perform real-time multi-modal fusion modeling to achieve accurate introspection of its own movement behavior (identification of movement behaviors, abnormal monitoring, and abnormal diagnoses), and anomaly recovery are essential in the next generation of intelligent collaborative robots.…”

Section: Background and Significancementioning

confidence: 99%

Introduction to Robot Introspection

Zhou

Rojas

et al. 2020

Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection

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In this chapter, we mainly introduce the definition, background, significance, and the start-of-the-art methods of collaborative robot multimodal introspection. The current issues of robot introspection are also introduced, which including the complex task representation, anomaly monitoring, diagnoses and recovery by assessing the quality of multimodal sensory data during robot manipulation. The overall content of this book is presented at the end.

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A Brief Overview of the Use of Collaborative Robots in Industry 4.0: Human Role and Safety

Cited by 102 publications

References 10 publications

Trends in Smart Manufacturing: Role of Humans and Industrial Robots in Smart Factories

Trends in Smart Manufacturing: Role of Humans and Industrial Robots in Smart Factories

A Resource-Based View and Institutional Theory- based analysis of Industry 4.0 Implementation in the Indian Engineering Industry

Introduction to Robot Introspection

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