Means of IoT and Fuzzy Cognitive Maps in Reactive Navigation of Ubiquitous Robots
| Autor: | Ján Vaščák, Iveta Zolotova, Erik Kajati, Ladislav Pomšár, P. Papcun |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Ubiquitous robot Computer Networks and Communications Process (engineering) Computer science lcsh:TK7800-8360 Computational intelligence 02 engineering and technology fuzzy cognitive map Evolutionary computation 020901 industrial engineering & automation Human–computer interaction 0202 electrical engineering electronic engineering information engineering evolutionary computing Electrical and Electronic Engineering ubiquitous robot Adaptation (computer science) navigation particle swarm optimization lcsh:Electronics Particle swarm optimization internet of things migration algorithm Fuzzy cognitive map Hardware and Architecture Control and Systems Engineering Signal Processing Robot 020201 artificial intelligence & image processing |
| Zdroj: | Electronics, Vol 10, Iss 809, p 809 (2021) Electronics Volume 10 Issue 7 |
| ISSN: | 2079-9292 |
| Popis: | Development of accessible and cheap sensors as well as the possibility to transfer and process huge amounts of data offer new possibilities for many areas utilizing till now conventional approaches. Navigation of robots and autonomous vehicles is no exception in this aspect and Internet of Things (IoT), together with the means of computational intelligence, represents a new way for construction and use of robots. In this paper, the possibility to move sensors from robots to their surroundings with the help of IoT is presented and the modification of the IoT concept in the form of intelligent space as well as the concept of ubiquitous robot are shown in the paper. On an example of route tracking, we will clarify the potential of distributed networked sensors and processing their data with the use of fuzzy cognitive maps for robotic navigation. Besides, two modifications of adaptation approaches, namely particle swarm optimization and migration algorithm, are presented here. A series of simulations was performed, which are discussed and future research directions are proposed. |
| Databáze: | OpenAIRE |
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