Autonomous control laws for mobile robotic surveillance swarms

Mullen, Robert; Monekosso, Dorothy; Barman, Sarah; Paolo, Remagnino

Abstract

We investigate the use of artificial local forces governed by physics laws for the spatial formation and coordination of a swarm of VTOL UAVs for ground area surveillance applications. Varying parameter effects are investigated through simulation and a learning algorithm is introduced to optimise the swarms behaviour with respect to self-organising into the optimum formation for a given sized ROI to cover collectively.

Citation

Mullen, R., Monekosso, D., Barman, S., & Paolo, R. (2009, December). Autonomous control laws for mobile robotic surveillance swarms. Paper presented at IEEE Symposium: Computational Intelligence for Security and Defence Applications (CISDA), Ottawa, Canada

• Presentation Conference Type: Conference Paper (unpublished)
• Conference Name: IEEE Symposium: Computational Intelligence for Security and Defence Applications (CISDA)
• Conference Location: Ottawa, Canada
• Start Date: Dec 18, 2009
• End Date: Dec 18, 2009
• Publication Date: Dec 18, 2009
• Peer Reviewed: Not Peer Reviewed
• Pages: 1-6
• ISBN: 978-1-4244-3763-4
• Keywords: autonomous control laws, mobile robotic surveillance swarms
• Public URL: https://uwe-repository.worktribe.com/output/989696
• Additional Information: Title of Conference or Conference Proceedings : IEEE Symposium: Computational Intelligence for Security and Defence Applications (CISDA)