Title :
Autonomous control laws for mobile robotic surveillance swarms
Author :
Mullen, Robert J. ; Monekosso, Dorothy N. ; Barman, Sarah A. ; Remagnino, Paolo
Author_Institution :
Digital Image Res. Centre, Kingston Univ., London, UK
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.
Keywords :
aerospace robotics; mobile robots; multi-robot systems; position control; remotely operated vehicles; surveillance; VTOL UAV; artificial local forces; autonomous control laws; ground area surveillance applications; learning algorithm; mobile robotic surveillance swarms; physics laws; swarm coordination; swarm spatial formation; Force control; Mobile robots; Orbital robotics; Particle swarm optimization; Physics computing; Robot kinematics; Satellites; Security; Stochastic processes; Surveillance;
Conference_Titel :
Computational Intelligence for Security and Defense Applications, 2009. CISDA 2009. IEEE Symposium on
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-4244-3763-4
Electronic_ISBN :
978-1-4244-3764-1
DOI :
10.1109/CISDA.2009.5356555
