Implementation of varied particle container for smoothed particle hydrodynamics - Based aggregation for unmanned aerial vehicle quadrotor swarm

© 2016 IEEE. The property of the Smoothed Particle Hydrodynamies(SPH) method of being mesh free, adaptable and suitable for tracking of individual particles makes it appropriate for approximating swarm behaviors for multiagent robotics applications. The researchers modeled each of the swarm robots a...

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Bibliographic Details
Main Authors: Bandala, Argel A., Faelden, Gerard Ely, Maningo, Jose Martin, Nakano, Reiichiro Christian S., Vicerra, Ryan Rhay P., Dadios, Elmer P.
Format: text
Published: Animo Repository 2016
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/3631
https://animorepository.dlsu.edu.ph/context/faculty_research/article/4633/type/native/viewcontent/IROS.2016.7759275
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Institution: De La Salle University
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Summary:© 2016 IEEE. The property of the Smoothed Particle Hydrodynamies(SPH) method of being mesh free, adaptable and suitable for tracking of individual particles makes it appropriate for approximating swarm behaviors for multiagent robotics applications. The researchers modeled each of the swarm robots as SPH particles and then subjected them to external forces to exhibit aggregation and force certain formations. The external forces subjected to the SPH particles are gravity forces and container constraints. The containers explored in the study are si mple geometrical prim itives: sphere and cube.Computer simulations were done to show how SPH can facilitate in forcing swarm formations with the help of bounding primitives. Algorithm benchmarking was done to show how well SPH pe rforms. Results show thatSPH performs better than the benchmark algorithm by a margin of 0.703 and 1.016 units for the two set-ups, respectively. Actual robot implementation was also done to verify the effectivity and viability of the proposed algorithm in exhibiting the aggregation be havior. After 15 seconds of system ru n ti me, the interparticle distance and motion accuracy reached 96.93% and 91.14%, respectively.