Autonomous Systems Operationalization Gaps Overcome by Modelling and Simulation

Hodicky, Jan

doi:10.1007/978-3-319-47605-6_4

Cited by 19 publications

(4 citation statements)

References 2 publications

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“…Interoperable, realistic integrated Modeling and Simulation environment: approaches consisting purely of in-field experimentation in the marine robotics domain are prohibitively expensive; thus, the interoperability of UMVs and heterogeneous integrated platforms and systems will probably be critically assessed using modeling and simulation. The future trend of M&S may be focused on the design of a scalable architecture for interoperable simulation based on a system of systems approach, providing a V&V (Verification and Validation) capability to explore systems reliability in complex conditions and to analyze autonomous behaviors in cost effective and safe virtual environments (Hodicky, 2016 ). The paper sets out the importance of exploiting Augmented Reality and haptic feedback to deliver immersive simulation in a natural way to the human operator who is working with autonomous systems.…”

Section: Future Trends Of Interoperabilitymentioning

confidence: 99%

Interoperability Among Unmanned Maritime Vehicles: Review and First In-field Experimentation

et al. 2020

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Complex maritime missions, both above and below the surface, have traditionally been carried out by manned surface ships and submarines equipped with advanced sensor systems. Unmanned Maritime Vehicles (UMVs) are increasingly demonstrating their potential for improving existing naval capabilities due to their rapid deployability, easy scalability, and high reconfigurability, offering a reduction in both operational time and cost. In addition, they mitigate the risk to personnel by leaving the man far-from-the-risk but in-the-loop of decision making. In the long-term, a clear interoperability framework between unmanned systems, human operators, and legacy platforms will be crucial for effective joint operations planning and execution. However, the present multi-vendor multi-protocol solutions in multi-domain UMVs activities are hard to interoperate without common mission control interfaces and communication protocol schemes. Furthermore, the underwater domain presents significant challenges that cannot be satisfied with the solutions developed for terrestrial networks. In this paper, the interoperability topic is discussed blending a review of the technological growth from 2000 onwards with recent authors' in-field experience; finally, important research directions for the future are given. Within the broad framework of interoperability in general, the paper focuses on the aspect of interoperability among UMVs not neglecting the role of the human operator in the loop. The picture emerging from the review demonstrates that interoperability is currently receiving a high level of attention with a great and diverse deal of effort. Besides, the manuscript describes the experience from a sea trial exercise, where interoperability has been demonstrated by integrating heterogeneous autonomous UMVs into the NATO Centre for Maritime Research and Experimentation (CMRE) network, using different robotic middlewares and acoustic modem technologies to implement a multistatic active sonar system. A perspective for the interoperability in marine robotics missions emerges in the paper, through a discussion of current capabilities, in-field experience and future advanced technologies unique to UMVs. Nonetheless, their application spread is slowed down by the lack of human confidence. In fact, an interoperable system-of-systems of autonomous UMVs will require operators involved only at a supervisory level. As trust develops, endorsed by stable and mature interoperability, human monitoring will be diminished to exploit the tremendous potential of fully autonomous UMVs.

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Section: Future Trends Of Interoperabilitymentioning

confidence: 99%

Interoperability Among Unmanned Maritime Vehicles: Review and First In-field Experimentation

et al. 2020

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“…Focusing on solving issues the Land domain is the most demanding for autonomous vehicles path planning. For ground autonomous vehicles path planning 1 According to Allied Administrative Publication 6 (AAP-6) the operational environment is defined as: A composite of the conditions, circumstances and influences that affect the employment of capabilities and bear on the decisions of the commander. Military Factors Influencing Path Planning DOI: http://dx.doi.org/10.5772/intechopen.86421 is possible to apply the analogical approaches as for military units movement planning.…”

Section: Categories Of Factors-steps For Consideration and Planningmentioning

confidence: 99%

“…kneg2 + … +fnegn . knegn (1) where: Pmf , probability of mission fulfilment; fpos1 till n, positive factor (1/first/till n/n-th/); kpos1 till n, coefficient of positive factor (1/first/till n/n-th/); fneg1 till n, negative factor (1/first/till n/n-th/); kneg1 till n, coefficient of negative factor (1/first/till n/n-th/).…”

Section: Military Factors Evaluation For Path Planningmentioning

confidence: 99%

“…In military operations the decision support systems for utilization of autonomous vehicles have become an integral part of the commander's decision-making process [1]. One of the models of autonomous vehicles are Unmanned Aerial Systems (UAS) mainly utilize for reconnaissance which is the part of the Tactical Decision Support Systems (TDSS) developed at University of Defence, Czech Republic [2].…”

Section: Introductionmentioning

confidence: 99%

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Military Factors Influencing Path Planning

Kozůbek¹,

Flasar²,

Dumišinec³

2019

Path Planning for Autonomous Vehicles - Ensuring Reliable Driverless Navigation and Control Maneuver

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The chapter discussed and considered the factors that influence the path planning for military purposed autonomous vehicles. The planning of movement (path planning) for autonomous vehicles is complex process influenced by many categories of factors. The complexity of autonomous vehicles path planning is dramatically increasing in military operational environment when the confrontation with enemy is expected. From operational point of view, it is necessary to considered in which military domain the autonomous vehicles will operate, for example, in Land domain, Air domain or Sea domain. From tactical point of view, there will be group of common factors for each domains and group of different factors for specific domain. As much as possible factors which will be included in consideration of path planning as the part of mathematical algorithms will increase the prerequisite for successful fulfilling of assigned tasks and missions.

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M&S-Based Robot Swarms Prototype

Biagini

Corona

2019

Modelling and Simulation for Autonomous Systems

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Autonomous Systems Operationalization Gaps Overcome by Modelling and Simulation

Cited by 19 publications

References 2 publications

Interoperability Among Unmanned Maritime Vehicles: Review and First In-field Experimentation

Interoperability Among Unmanned Maritime Vehicles: Review and First In-field Experimentation

Military Factors Influencing Path Planning

M&S-Based Robot Swarms Prototype

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