Training with and of Autonomous System – Modelling and Simulation Approach

Hodicky, Jan; Procházka, Dalibor; Procházka, Josef

doi:10.1007/978-3-319-76072-8_27

Cited by 9 publications

(2 citation statements)

References 11 publications

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“…To prepare troops, implement training using autonomous and robotic systems to support habituation to sophisticated systems, especially now with simulations [12]. Continue to introduce modern components and approaches [13], that increase the efficiency of units, which are able to work together as one meaningful whole. Link this into more sophisticated collaborative systems.…”

Section: A Possible Approach For Improving Military Education and Training In Military Roboticsmentioning

confidence: 99%

Combat UGV: The Challenge of their Implementation in Combat Units

Zahradníček

Rak

2021

International Conference KNOWLEDGE-BASED ORGANIZATION

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This article deals with the issue of combat unmanned ground vehicles (UGV). The authors describe and analyse the current state of the issue. In the light of technological progress, the ambitions of selected states, and future trends, the authors define the needs for successfully implementing combat unmanned vehicles into the line-ups of combat divisions and units. They examine not only the field of application, but also the issue of education and training from a long-term perspective. The article hopes to support professional-scientific discussion on this topic and create the theoretical potential for starting the process of preparing and implementing combat UGV.

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Section: A Possible Approach For Improving Military Education and Training In Military Roboticsmentioning

confidence: 99%

Combat UGV: The Challenge of their Implementation in Combat Units

Zahradníček

Rak

2021

International Conference KNOWLEDGE-BASED ORGANIZATION

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“…The algorithm proposed in this article is used to plan the route of the UGV. More information about the model can be found in [ 3 ]; the general topic of decision support for commanders is explored in [ 4 , 5 , 6 , 7 , 8 , 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Algorithm Based on Ant Colony Optimization and Simulated Annealing Applied to the Dynamic Traveling Salesman Problem

Stodola

Michenka

Nohel

et al. 2020

Entropy

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The dynamic traveling salesman problem (DTSP) falls under the category of combinatorial dynamic optimization problems. The DTSP is composed of a primary TSP sub-problem and a series of TSP iterations; each iteration is created by changing the previous iteration. In this article, a novel hybrid metaheuristic algorithm is proposed for the DTSP. This algorithm combines two metaheuristic principles, specifically ant colony optimization (ACO) and simulated annealing (SA). Moreover, the algorithm exploits knowledge about the dynamic changes by transferring the information gathered in previous iterations in the form of a pheromone matrix. The significance of the hybridization, as well as the use of knowledge about the dynamic environment, is examined and validated on benchmark instances including small, medium, and large DTSP problems. The results are compared to the four other state-of-the-art metaheuristic approaches with the conclusion that they are significantly outperformed by the proposed algorithm. Furthermore, the behavior of the algorithm is analyzed from various points of view (including, for example, convergence speed to local optimum, progress of population diversity during optimization, and time dependence and computational complexity).

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M&S-Based Robot Swarms Prototype

Biagini

Corona

2019

Modelling and Simulation for Autonomous Systems

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Training with and of Autonomous System – Modelling and Simulation Approach

Cited by 9 publications

References 11 publications

Combat UGV: The Challenge of their Implementation in Combat Units

Combat UGV: The Challenge of their Implementation in Combat Units

Hybrid Algorithm Based on Ant Colony Optimization and Simulated Annealing Applied to the Dynamic Traveling Salesman Problem

M&S-Based Robot Swarms Prototype

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