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Пшихопов, Вячеслав Хасанович

doi:10.1016/b978-0-12-812305-8.00007-7

Cited by 2 publications

(1 citation statement)

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“…The effectiveness of the algorithm was tested in dynamic environments [ 17 ]. Pshikhopov introduced some bionic path planning methods, including neural networks, neural structures, and genetic searches, in their review paper on vehicle path planning and provided appropriate data tools for researchers to study bionic path planning [ 18 ]. Although there are many methods for solving the problems faced by bionic path planning, there is little research on bionic path planning combined with episodic memory.…”

Section: Introductionmentioning

confidence: 99%

Bionic Path Planning Fusing Episodic Memory Based on RatSLAM

Shu

et al. 2023

Biomimetics

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Inspired by rodents’ ability to navigate freely in a given space, bionavigation systems provide alternatives to traditional probabilistic solutions. This paper proposed a bionic path planning method based on RatSLAM to provide a novel viewpoint for robots to make a more flexible and intelligent navigation scheme. A neural network fusing historic episodic memory was proposed to improve the connectivity of the episodic cognitive map. It is biomimetically important to generate an episodic cognitive map and establish a one-to-one correspondence between the events generated by episodic memory and the visual template of RatSLAM. The episodic cognitive map can be improved by imitating the rodents’ behavior of memory fusion to produce better path planning results. The experimental results of different scenarios illustrate that the proposed method identified the connectivity between way points, optimized the result of path planning, and improved the flexibility of the system.

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Section: Introductionmentioning

confidence: 99%

Bionic Path Planning Fusing Episodic Memory Based on RatSLAM

Shu

et al. 2023

Biomimetics

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Formalisation of the methodology of the construction design documents taking into account the fuzzy logic

Klashanov

2021

INCAS BULLETIN

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This study investigates the methodology of formalisation of the process of development of design solutions for construction using artificial intelligence methods, taking into account fuzzy logic. The relevance of the subject matter is conditioned by the need to compile a description and methodology for solving problems for which cybernetic methods are not applicable or are limited. The purpose of this study is to make recommendations for managing the development of construction project documentation based on artificial intelligence systems. The main results obtained is: considered the definition of mathematical models for calculating methodological parameters and the hierarchical structure of the project document flow. A method of effective implementation of an organisational and technological solution using its information model and a system for developing management decisions based on the results of monitoring the construction process is proposed. The prospects for further research in the stated line are conditioned by the need for further development and practical implementation of accounting methods for construction design documents to systematise accounting processes in conditions of incomplete or limited information. The applied value of this study lies in the possibility of practical application of the results obtained to optimise the maintenance of construction design documents.

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Cited by 2 publications

References 0 publications

Bionic Path Planning Fusing Episodic Memory Based on RatSLAM

Bionic Path Planning Fusing Episodic Memory Based on RatSLAM

Formalisation of the methodology of the construction design documents taking into account the fuzzy logic

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