Semantic approach to RIoT autonomous robots mission coordination

Nejković, Valentina; Petrović, Nenad; Tošić, Milorad; Milošević, Nenad

doi:10.1016/j.robot.2020.103438

Cited by 21 publications

(18 citation statements)

References 25 publications

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“…Some emerging technologies like IoT and autonomous robots collect data and information from production processes (Nejkovic et al , 2020). Cloud computing and big data can be used for data storage and analysis, and other technologies make it possible to simulate, predict and analyze scenarios, such as AI, machine learning, simulation and so on (Kipper et al , 2020).…”

Section: Industry 40mentioning

confidence: 99%

Process modeling for smart factories: using science mapping to understand the strategic themes, main challenges and future trends

Sott

Furstenau

Kipper

et al. 2021

BPMJ

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PurposeThe purpose of this paper is to identify the relationships between process modeling and Industry 4.0, the strategic themes and the most used process modeling language in smart factories. The study also presents the growth of the field of study worldwide, the perspectives, main challenges, trends and suggestions for future works.Design/methodology/approachTo do this, a science mapping was performed using the software SciMAT, supported by VOS viewer.FindingsThe results show that the Business Process Model and Notation (BPMN), Unified Modelling Language (UML) and Petri Net are the most relevant languages to smart manufacturing. The authors also highlighted the need to develop new languages or extensions capable of representing the dynamism, interoperability and multiple technologies of smart factories.Originality/valueIt was possible to identify the most used process modeling languages in smart environments and understand how these languages assist control and manage smart processes. Besides, the authors highlighted challenges, new perspectives and the need for future works in the field.

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Section: Industry 40mentioning

confidence: 99%

Process modeling for smart factories: using science mapping to understand the strategic themes, main challenges and future trends

Sott

Furstenau

Kipper

et al. 2021

BPMJ

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“…SMADA-Fog was created as a side product of RAWFIE-SCOR [35] project, whose goal was the development of coordination mechanisms within RAWFIE [36] future internet platform for remote robotic experimentation. RAWFIE-SCOR refers to a semantic technologybased framework aiming the extension of the existing robotic testbed capabilities, by introducing the modelling aspects related to device coordination [37]. Once the flow of coordination actions is defined and experiment executed, the central entity monitors and analyses the sensor data coming from drones and ground robots in order to detect the coordination points.…”

Section: Existing Approaches For Modelling the Internetmentioning

confidence: 99%

The Role of Cognitive Computing and Collective Cognitive Computing in the Future Internet

Williams¹,

Petrović²

2021

Preprint

Self Cite

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INTRODUCTION: The European Union, the United States, and China have all had, or currently have, programs to support research into the development of their vision of the Internet of the future.OBJECTIVES: To explore whether and if so how cognitive computing or collective cognitive computing is likely to be a critical aspect of all of these visions of the future Internet, even where these visions differ wildly.METHODS: An analysis is performed to assess whether and how AGI and GCI might be used to optimize achievement of the EU’s vision for a future Internet. And an analysis is performed to determine whether and if so how AGI and GCI might be used to optimize achievement of China’s potentially very different vision for a future Internet.RESULTS: AGI and GCI appear to create the possibility of future Internet technology that self-assembles in different ways according to the users, so that it simultaneously might maximize outcomes in implementing potentially conflicting visions of that future Internet.CONCLUSION: The conceptual example of customizing a news media website for two individual users of opposite political persuasions suggests that while the overhead of customizing such services might potentially result in massively increased storage and processing overhead, within a network of cooperating services in which this customization reliably creates value, this is potentially a significant opportunity.

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“…AR is becoming an emerging direction in intuitive robot programming [25]. This case study builds upon our previous work on a semantic approach to the coordination of robotic IoT devices within experimentation testbeds [26]. This AR application serves as a companion to new users of robotics testbed, providing a simple interface for robot coordination in specific situations.…”

Section: B Robotics Testbed Companionmentioning

confidence: 99%

“…The desired scenario is confirmed by touching the cube. An excerpt of semantic framework adopted from [26], extended and used as a process ontology in this case study is given in Fig. 6.…”

Section: B Robotics Testbed Companionmentioning

confidence: 99%

An ontology-based framework for automated code generation of Web AR applications

Đorđević¹,

Petrović

Tošić

2020

Telfor J

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In this paper, we propose an ontology-based framework for automated Web AR application code generation leveraging semantic descriptions of application structure and behavior in synergy with domain knowledge and annotations of building information model (BIM). Three case studies are presented: smart home energy consumption monitoring application, robotics testbed companion and virtual music mixing interface. The presented approach significantly reduces the time needed for Web AR application development.

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Semantic approach to RIoT autonomous robots mission coordination

Cited by 21 publications

References 25 publications

Process modeling for smart factories: using science mapping to understand the strategic themes, main challenges and future trends

Process modeling for smart factories: using science mapping to understand the strategic themes, main challenges and future trends

The Role of Cognitive Computing and Collective Cognitive Computing in the Future Internet

An ontology-based framework for automated code generation of Web AR applications

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