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210512 ||| eng |
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|a 9783038979227
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|a 9783038979234
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|a books978-3-03897-923-4
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1 |
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|a Spezzano, Giandomenico
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245 |
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|a Swarm Robotics
|h Elektronische Ressource
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260 |
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|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2019
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300 |
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|a 1 electronic resource (310 p.)
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653 |
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|a particle swarm optimization
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653 |
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|a artificial flora (AF) algorithm
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|a weighted implicit shape representation
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|a target recognition
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653 |
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|a formation reconfiguration
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|a event-driven coverage
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|a genetic algorithm
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|a unmanned aerial vehicle
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|a n/a
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|a optimal configuration
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653 |
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|a coordinate motion
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|a mobile robots
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|a Swarm Chemistry
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|a event-triggered communication
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|a formation
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|a search
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|a surface-water environment
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|a obstacle avoidance
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|a congestion control
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|a environmental perception
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|a meta-heuristic
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|a surveillance
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|a swarm intelligence
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|a shape normalization
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|a sliding mode controller
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|a UAV swarms
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|a multiple robots
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|a asymmetrical interaction
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|a swarm behavior
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|a panoramic view
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|a time-difference-of-arrival (TDOA)
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|a fish swarm optimization
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|a self-assembly robots
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|a swarm robotics
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|a search algorithm
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|a autonomous docking
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|a system stability
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|a nonlinear disturbance observer
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|a comparison
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|a Computer science / bicssc
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|a bionic intelligent algorithm
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|a path optimization
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|a Cramer-Rao low bound (CRLB)
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|a improved potential field
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|a virtual structure
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|a patterns
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|a artificial bee colony algorithm
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|a signal source localization
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|a consensus control
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|a multi-robot system
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|a sensor deployment
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|a 3D model identification
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|a behaviors
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|a self-organization
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|a scale-invariant feature transform
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|a virtual linkage
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|a parallel technique
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|a robotics
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|a underwater environment
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|a modular robots
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|a formation control
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|a cooperative target hunting
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|a optimization
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|a multi-agents
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|a multi-AUV
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|a Swarm intelligence algorithm
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041 |
0 |
7 |
|a eng
|2 ISO 639-2
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989 |
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|b DOAB
|a Directory of Open Access Books
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500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by-nc-nd/4.0/
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028 |
5 |
0 |
|a 10.3390/books978-3-03897-923-4
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856 |
4 |
0 |
|u https://www.mdpi.com/books/pdfview/book/1294
|7 0
|x Verlag
|3 Volltext
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856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/60367
|z DOAB: description of the publication
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|a 363
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|a 000
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|a 540
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|a 380
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|a 700
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|a Collectively working robot teams can solve a problem more efficiently than a single robot, while also providing robustness and flexibility to the group. Swarm robotics model is a key component of a cooperative algorithm that controls the behaviors and interactions of all individuals. The robots in the swarm should have some basic functions, such as sensing, communicating, and monitoring, and satisfy the following properties:
|