Robots in Industry: The Past, Present, and Future of a Growing Collaboration With Humans

Grau, Antoni; Indri, Marina; Bello, Lucia Lo; Sauter, Thilo

doi:10.1109/mie.2020.3008136

Cited by 60 publications

(33 citation statements)

References 43 publications

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“…Industry 5.0, Collaborative Robots, Digital Twin 1) Motivation: Different from Industry 4.0 which spearheads the explosion of IoT, cognitive computing, big data, and AI over technical interconnectivity and decentralization, Industry 5.0 commits the human touch of business and intelligent systems back into development and production. The primary mission of Industry 5.0 is to create a significant revolution in industrial processes, manufacture, and business, where problem-solving and creativity-making are the superior objectives instead of replacing repetitive jobs of people with automated robots [129]. In this context, the combination of increasingly powerful machines and better-trained experts motivates an effective, safe, and sustainable production, in which highly skilled operators and automated robots can work safely and effectively side-by-side on the same manufacturing roll to produce personalized and customized products.…”

Section: G Other Technical Aspectsmentioning

confidence: 99%

Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challenges

Wang¹,

Qureshi²,

Miralles-Pechuaán³

et al. 2021

Preprint

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When 5G began its commercialisation journey around 2020, the discussion on the vision of 6G also surfaced. Researchers expect 6G to have higher bandwidth, coverage, reliability, energy efficiency, lower latency, and, more importantly, an integrated "human-centric" network system powered by artificial intelligence (AI). Such a 6G network will lead to an excessive number of automated decisions made every second. These decisions can range widely, from network resource allocation to collision avoidance for self-driving cars. However, the risk of losing control over decision-making may increase due to high-speed data-intensive AI decision-making beyond designers and users' comprehension. The promising explainable AI (XAI) methods can mitigate such risks by enhancing the transparency of the black box AI decision-making process. This survey paper highlights the need for XAI towards the upcoming 6G age in every aspect, including 6G technologies (e.g., intelligent radio, zero-touch network management) and 6G use cases (e.g., industry 5.0). Moreover, we summarised the lessons learned from the recent attempts and outlined important research challenges in applying XAI for building 6G systems. This research aligns with goals 9, 11, 16, and 17 of the United Nations Sustainable Development Goals (UN-SDG) 1 , promoting innovation and building infrastructure, sustainable and inclusive human settlement, advancing justice and strong institutions, and fostering partnership at the global level.

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Section: G Other Technical Aspectsmentioning

confidence: 99%

Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challenges

Wang¹,

Qureshi²,

Miralles-Pechuaán³

et al. 2021

Preprint

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“…Robotics will play an important role in smart factories that will benefit from I4.0 design principles such as interoperability, decentralization, real-time capability, virtualization, service orientation, and modularity (Drath & Horch, 2014). The ability to establish fully automated production lines, leading to almost personnel-free factories and serious threats to the job market, particularly in the low-qualification segment, is a highly contentious aspect of the use of robots (GRAU, et al, 2021).…”

Section: (E) Autonomous Robotsmentioning

confidence: 99%

Production and maintenance in industries: impact of industry 4.0

Kunju

Naveed

Anwar

et al. 2021

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Purpose Production industries are undergoing a digital transition, referred to as the fourth industrial revolution or Industry 4.0, as a result of rapidly expanding advances in information and communication technology. The purpose of this research is to provide a conceptual insight into the impact of unique capabilities from the fourth industrial revolution on production and maintenance tasks in terms of providing the existing production companies a boost by making recommendations on areas and tasks of great potential. Design/methodology/approach A survey and a literature review are among the research methods used in the research. The survey collected empirical data using a semi-structured questionnaire, which provided a broad overview of the company's present condition in terms of production and maintenance, resulting in more comprehensive and specific information regarding the study topics. Findings The study points out that, the implementation of I4.0-technology leads to an increase in production, asset utilization, quality, reduced machine down time in industries, and maintenance. Sensor technology, big data analysis, cloud technologies, mobile end devices, and real-time location systems are now being implemented to improve production processes and boost organizational competitiveness. Moreover, the study highlights that data acquired throughout the production process is utilized for quality control, predictive maintenance, and automatic production control. Furthermore, I4.0 solutions help companies to be more efficient with assets at each stage of the process, allowing them to have a stronger control on inventories and operational-optimization potential. Originality/value The findings of the study was supported by empirical data collected through survey that provides an intangible understanding of the importance of distinctive capabilities from the I4.0 revolution on production and maintenance tasks. In this study, some recommendations and guidelines to enhance these tasks are provided that are vital for existing production companies.

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“…Außerdem ist es möglich, die Safety-Funktion absichtlich auszulösen, wodurch die Maschine oder Produktionslinie den Betrieb einstellt, was sich negativ auf die Verfügbarkeit auswirkt [3] und wirtschaftlichen Schaden verursacht. Neben einem direkten Angriff auf die Safety-Funktion können Cyber-Angriffe gegen Benutzerschnittstellen (beispielsweise Web-Applikationen) ebenfalls die Safety in weiterer Folge negativ beeinflussen [4][5][6].…”

Section: Einleitung Und Problemstellungunclassified

Safety und Security – ein Spannungsfeld in der industriellen Praxis

Hollerer

Kästner

Sauter

2021

Elektrotech. Inftech.

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ZusammenfassungDie Grenzen zwischen Informationstechnologie (IT) und Betriebstechnik (OT) verschwimmen zunehmend, wodurch die Schutzziele Informations- und Datensicherheit (Security) und Betriebssicherheit (Safety) ebenfalls immer stärker voneinander abhängen. Beispielsweise können Cyber-Angriffe Safety-Funktionen verändern und dadurch Menschen und die Umgebung gefährden. Umgekehrt kann der Missbrauch einer Safety-Funktion zum Stopp einer Maschine oder Produktionslinie führen und so die Verfügbarkeit beeinträchtigen. Der vorliegende Beitrag beschäftigt sich damit, wie verschiedene österreichische Stakeholder der Industrie aktuell mit Security- und Safety-Risiken umgehen, um unerwünschte Situationen zu vermeiden oder zu verhindern. Bei dieser Analyse werden sowohl Hersteller von Produkten oder Komponenten als auch Integratoren und Betreiber industrieller Systeme befragt. Es werden dabei die Themengebiete sichere Infrastrukturen und Systemarchitekturen sowie Risikomanagement betrachtet. Die daraus abgeleiteten Ergebnisse bieten Einblicke in den aktuellen Stand beim Umgang mit Safety und Security in der Industrie.

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Robots in Industry: The Past, Present, and Future of a Growing Collaboration With Humans

Cited by 60 publications

References 43 publications

Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challenges

Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challenges

Production and maintenance in industries: impact of industry 4.0

Safety und Security – ein Spannungsfeld in der industriellen Praxis

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