{"id":1159,"date":"2020-11-02T11:06:00","date_gmt":"2020-11-02T10:06:00","guid":{"rendered":"https:\/\/www.cidn.fr\/?p=1159"},"modified":"2020-11-02T11:06:00","modified_gmt":"2020-11-02T10:06:00","slug":"swarmlab-a-matlab-drone-swarm-simulator-core","status":"publish","type":"post","link":"https:\/\/www.cidn.fr\/innovation-et-technologie\/swarmlab-a-matlab-drone-swarm-simulator-core\/","title":{"rendered":"SwarmLab: a Matlab Drone Swarm Simulator &#8211; CORE"},"content":{"rendered":"<blockquote><p>Among the available solutions for drone swarm simulations, we identified a gap in simulation frameworks that allow easy algorithms prototyping, tuning, debugging and performance analysis, and do not require the user to interface with multiple programming languages. We present SwarmLab, a software entirely written in Matlab, that aims at the creation of standardized processes and metrics to quantify the performance and robustness of swarm algorithms, and in particular, it focuses on drones. We showcase the functionalities of SwarmLab by comparing two state-of-the-art algorithms for the navigation of aerial swarms in cluttered environments, Olfati-Saber\u2019s and Vasarhelyi\u2019s. We analyze the variability of the inter-agent distances and agents\u2019 speeds during flight. We also study some of the performance metrics presented, i.e. order, inter and extra-agent safety, union, and connectivity. While Olfati-Saber\u2019s approach results in a faster crossing of the obstacle field, Vasarhelyi\u2019s approach allows the agents to fly smoother trajectories, without oscillations. We believe that SwarmLab is relevant for both the biological and robotics research communities, and for education, since it allows fast algorithm development, the automatic collection of simulated data, the systematic analysis of swarming behaviors with performance metrics inherited from the state of the art.<\/p><\/blockquote>\n<p>Source\u00a0:\u00a0<em><a href=\"https:\/\/core.ac.uk\/display\/322452610?recSetID=\" target=\"_blank\" rel=\"noopener noreferrer\">SwarmLab: a Matlab Drone Swarm Simulator \u2013 CORE<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Among the available solutions for drone swarm simulations, we identified a gap in simulation frameworks that allow easy algorithms prototyping, tuning, debugging and performance analysis, and do not require the [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":1160,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[3],"tags":[17,16,14],"acf":[],"_links":{"self":[{"href":"https:\/\/www.cidn.fr\/wp-json\/wp\/v2\/posts\/1159"}],"collection":[{"href":"https:\/\/www.cidn.fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.cidn.fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.cidn.fr\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/www.cidn.fr\/wp-json\/wp\/v2\/comments?post=1159"}],"version-history":[{"count":1,"href":"https:\/\/www.cidn.fr\/wp-json\/wp\/v2\/posts\/1159\/revisions"}],"predecessor-version":[{"id":1161,"href":"https:\/\/www.cidn.fr\/wp-json\/wp\/v2\/posts\/1159\/revisions\/1161"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.cidn.fr\/wp-json\/wp\/v2\/media\/1160"}],"wp:attachment":[{"href":"https:\/\/www.cidn.fr\/wp-json\/wp\/v2\/media?parent=1159"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.cidn.fr\/wp-json\/wp\/v2\/categories?post=1159"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.cidn.fr\/wp-json\/wp\/v2\/tags?post=1159"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}