Human–Machine Network Through Bio-Inspired Decentralized Swarm Intelligence and Heterogeneous Teaming in SAR Operations

Disaster management has always been a struggle due to unpredictable changing conditions and chaotic occurrences that require real-time adaption. Highly optimized missions and robust systems mitigate uncertainty effects and improve notoriously success rates. This paper brings a niching hybrid human–m...

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Vydané v:	Journal of intelligent & robotic systems Ročník 105; číslo 4; s. 88
Hlavní autori:	Longa, Marc Espinós, Tsourdos, Antonios, Inalhan, Gokhan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Dordrecht Springer Netherlands 01.08.2022 Springer Springer Nature B.V
Predmet:	Algorithms Artificial Intelligence Bees Communication Control Data transmission Decision making Disaster management Earthquakes Electrical Engineering Emergency management Engineering Heterogeneity Honeybee Hybrid systems Intelligence Markov analysis Mechanical Engineering Mechatronics Monte Carlo method Optimization Regular Paper Robotics Robustness Search and rescue operations Sensors Simulation Space exploration Swarm intelligence Teams Decentralized Heterogeneous Systems Bio-inspiration Human–Machine Network Monte Carlo Simulations Safe and Rescue Swarm Intelligence
ISSN:	0921-0296, 1573-0409
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