Obstacle avoidance for quadrotor swarm using artificial neural network self-organizing map
College
Gokongwei College of Engineering
Department/Unit
Electronics And Communications Engg
Document Type
Conference Proceeding
Source Title
8th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2015
Publication Date
1-25-2016
Abstract
Swarm operation in Unmanned Aerial Vehicles is an emerging technology which has numerous uses. It can be used in industrial, agricultural, and even military applications. However, it must be able to perform formations for it to be effective. Also, countermeasures must be made by the swarm to account for certain obstructions that are present in the environment. This paper aims to address this issue by implementing an artificial neural network self-organizing map to give the correct coordinates to each swarm individual such that the swarm formation would be present in the given space while avoiding the obstructions present. Testing would include subjecting the system to three different obstruction patterns in a given 3D space. The results showed that for all cases, the swarm was able to avoid all the obstructions. © 2015 IEEE.
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Digitial Object Identifier (DOI)
10.1109/HNICEM.2015.7393220
Recommended Citation
Maningo, J. Z., Faelden, G. U., Nakano, R. S., Bandala, A. A., & Dadios, E. P. (2016). Obstacle avoidance for quadrotor swarm using artificial neural network self-organizing map. 8th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2015 https://doi.org/10.1109/HNICEM.2015.7393220
Disciplines
Electrical and Computer Engineering | Electrical and Electronics | Systems and Communications
Keywords
Swarm intelligence; Drone aircraft; Self-organizing maps; Neural networks (Computer science)
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