Modeling and Simulation of Scalable Flocking with Fully Autonomous Quadrotors
| Autor: | Hala ElAarag, Nathan Hilliard, Christian Micklisch |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Modeling and simulation
0209 industrial biotechnology 020901 industrial engineering & automation Flocking (behavior) Computer science Distributed computing Scalability 02 engineering and technology Dynamic control 010501 environmental sciences 01 natural sciences GeneralLiterature_MISCELLANEOUS 0105 earth and related environmental sciences |
| Zdroj: | SPECTS |
| DOI: | 10.1109/spects.2018.8574192 |
| Popis: | A scalable flocking model allows multiple quadrotors to be added to the runtime environment at any given moment without any impact to the flock. In this research we created a simulator that allows fully autonomous quadrotors to follow a dynamic list of behaviors. These behaviors, separation, alignment, cohesion, targeting, and informed avoidance direct a group of quadrotors. We present a simulator model to add autonomous quadrotors to a flock, the mathematical model of boid behaviors provided to each flock member, and the simulator results of our scalable flocking model. |
| Databáze: | OpenAIRE |
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