Obstacle avoidance algorithm for swarm of quadrotor unmanned aerial vehicle using artificial potential fields
College
Gokongwei College of Engineering
Department/Unit
Electronics And Communications Engg
Document Type
Conference Proceeding
Source Title
IEEE Region 10 Annual International Conference, Proceedings/TENCON
Volume
2017-December
First Page
2307
Last Page
2312
Publication Date
12-19-2017
Abstract
Unmanned aerial vehicle that is moving from one place to another needs to have a real-time obstacle avoidance controller to prevent collisions in the obstacles around it. In this paper, the concept of artificial potential field is proposed to implement obstacle avoidance in swarm of quadrotors. This is based on the assumptions that the target and obstacle will introduce a certain force that will direct the robot to its destination. The effectiveness of this method was tested in a computer simulation and verified using real quadrotors. © 2017 IEEE.
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Digitial Object Identifier (DOI)
10.1109/TENCON.2017.8228246
Recommended Citation
Galvez, R. L., Faelden, G. U., Maningo, J. Z., Nakano, R. S., Dadios, E. P., Bandala, A. A., Vicerra, R. P., & Fernando, A. H. (2017). Obstacle avoidance algorithm for swarm of quadrotor unmanned aerial vehicle using artificial potential fields. IEEE Region 10 Annual International Conference, Proceedings/TENCON, 2017-December, 2307-2312. https://doi.org/10.1109/TENCON.2017.8228246
Disciplines
Electrical and Computer Engineering | Electrical and Electronics | Systems and Communications
Keywords
Drone aircraft; Quadrotor helicopters; Swarm intelligence
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