Operational Scenario Modelling Supporting Unmanned Autonomous Systems Concept Development

2018 ◽  
pp. 253-267 ◽  
Author(s):  
Marco Biagini ◽  
Fabio Corona ◽  
Josef Casar
Keyword(s):  
Autonomous Systems ◽  
Concept Development ◽  
Scenario Modelling

M and S supporting unmanned autonomous systems (UAxS) concept development and experimentation

2017 ◽  
Author(s):  
Marco Biagini ◽  
Alfio Scaccianoce ◽  
Fabio Corona ◽  
Sonia Forconi ◽  
Frank Byrum ◽  
...  
Keyword(s):  
Autonomous Systems ◽  
Concept Development

scholarly journals Securing interoperable and integrated command and control of unmanned systems – validating the UK MAPLE architecture

2019 ◽  
Author(s):  
P Smith ◽  
W Biggs
Keyword(s):  
Autonomous Systems ◽  
Command And Control ◽  
Concept Development ◽  
Information Architecture ◽  
Open Architecture ◽  
Unmanned Systems ◽  
Functional Aspects ◽  
The Uk ◽  
And Control ◽  
Made In

Unmanned and autonomous systems have a key role to play in delivering future maritime capability, where this requires an appropriate command and control (C2) architecture to operate a heterogeneous mix of unmanned systems. The UK has made significant progress over the last 5 years in developing such an information architecture known as MAPLE (Maritime Autonomous PLatform Exploitation), as a result the integration of new unmanned systems into MAPLE has become relatively straightforward. The programme has seen its architecture iteratively developed and tested, both in live and synthetic events, most recently in Australia in late 2018 as part of a 5 eyes Autonomy Strategic Challenge. As the fourth phase of MAPLE comes to a conclusion, this paper will underline the progress that has been made in prototyping a solution that has successfully achieved stressing goals around planning, tasking, in mission control and exploitation of multiple heterogeneous unmanned systems. The paper will explore how Phase 4 has also leveraged its open architecture approach and wider research and development into manned-unmanned teaming and automated policy management, giving end users more flexibility and control in terms of vehicle tasking, whilst building overall system trust. As part of this wider focus, Phase 4 has featured an integral focus on concept development, human factors and the non-functional aspects, notably security and safety, all key to the eventual fielding of a MAPLE like capability. The paper will set out specific achievements in these areas and highlights from the final MAPLE 4 demonstrations in May 2019, set out thinking on the next phase, towards implementation, and conclude with a look at a number of MAPLE spin-out projects.

THE CONCEPT OF AUTONOMOUS SYSTEMS IN INDUSTRY 4.0

2019 ◽  
Vol 12 (1) ◽  
pp. 77-87
Author(s):  
György Kovács ◽  
Rabab Benotsmane ◽  
László Dudás
Keyword(s):  
Industry 4.0 ◽  
Intelligent Systems ◽  
Autonomous Systems ◽  
Essential Element ◽  
Industrial Sector ◽  
Life Cycles ◽  
Multi Agent Systems ◽  
New Paradigm ◽  
Intelligent Machines ◽  
Digital Network

Recent tendencies – such as the life-cycles of products are shorter while consumers require more complex and more unique final products – poses many challenges to the production. The industrial sector is going through a paradigm shift. The traditional centrally controlled production processes will be replaced by decentralized control, which is built on the self-regulating ability of intelligent machines, products and workpieces that communicate with each other continuously. This new paradigm known as Industry 4.0. This conception is the introduction of digital network-linked intelligent systems, in which machines and products will communicate to one another in order to establish smart factories in which self-regulating production will be established. In this article, at first the essence, main goals and basic elements of Industry 4.0 conception is described. After it the autonomous systems are introduced which are based on multi agent systems. These systems include the collaborating robots via artificial intelligence which is an essential element of Industry 4.0.

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