General Aspects of Intelligent Autonomous Systems

The industrial landscape is undergoing a series of fundamental changes, because of the advances in cutting-edge digital technologies. Under the framework of Industry 4.0 engineers have focused their effort on the development of new frameworks integrating digital technologies such as Big Data Analytics, Digital Twins, Extended Reality, and Artificial Intelligence, to upscale modern manufacturing systems, reduce uncertainties, and cope with the increased market volatility. However, in the upcoming industrial revolution, i.e., Industry 5.0, the research focus will be directed towards the new generation of human operators, the Operator 5.0. The purpose of this paper is to investigate the key technologies that will be the drivers towards the realization of the Operator 5.0 and to highlight the key challenges. Additional contribution is the proposal of a framework for the training and support of shopfloor technicians based on the utilization of Mixed Reality for manufacturing processes.

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“… Virtual Training [77].  Intelligent Autonomous Systems [78].  Advances in Sensing Technologies and Machine Cognition [79].…”

Section: Towards Human Cyber-physical Systemsmentioning

confidence: 99%

Operator 5.0: A Survey on Enabling Technologies and a Framework for Digital Manufacturing Based on Extended Reality

Mourtzis¹,

Panopoulos²

2022

Journal of Machine Engineering

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“…A multi-agent system is composed of a number of agents that are able to interact with each other in order to complete a set of goals. Therefore, MARS topics involves all the disciplines in robotics field like distributed control , perception (Franchi et al, 2009;LaValle, 2011;Liu et al, 2010), cognition (Bibel, 2010;Mehrjerdi et al, 2010), coordination (Kitts and Mas, 2009) and configuration (Wang and de Silva, 2010) among others.…”

Section: Introductionmentioning

confidence: 99%

A cooperative multi-agent robotics system: Design and modelling

Cena

Cárdenas

Saltaren

et al. 2013

Expert Systems with Applications

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Ver información de revista ResumenThis paper presents the development of the robotic multi-agent system SMART. In this system, the agent concept is applied to both hardware and software entities. Hardware agents are robots, with three and four legs, and an IP-camera that takes images of the scene where the cooperative task is carried out. Hardware agents strongly cooperate with software agents.These latter agents can be classified into image processing, communications, task management and decision making, planning and trajectory generation agents. To model, control and evaluate the performance of cooperative tasks among agents, a kind of Petri Net, called Work-Flow Petri Net, is used. Experimental results shows the good performance of the system. A cooperative multi-agent robotics system: Design and modelling Cecilia Garcia Cena , Pedro F. Cardenas , Roque Saltaren Pazmino , Lisandro Puglisi Rafael Aracil Santonja ABSTRACT This paper presents the development of the robotic multi-agent system SMART. In this system, the agent concept is applied to both hardware and software entities. Hardware agents are robots, with three and four legs, and an IP-camera that takes images of the scene where the cooperative task is carried out. Hardware agents strongly cooperate with software agents. These latter agents can be classified into image processing, communications, task management and decision making, planning and trajectory generation agents. To model, control and evaluate the performance of cooperative tasks among agents, a kind of Petri Net, called Work-Flow Petri Net, is used. Experimental results shows the good performance of the system.

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General Aspects of Intelligent Autonomous Systems

Cited by 5 publications

References 10 publications

Operator 5.0: A Survey on Enabling Technologies and a Framework for Digital Manufacturing Based on Extended Reality

Operator 5.0: A Survey on Enabling Technologies and a Framework for Digital Manufacturing Based on Extended Reality

A cooperative multi-agent robotics system: Design and modelling

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