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	<title>Dario Brescianini &#8211; Robohub</title>
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		<title>Watch this omnicopter fetch a ball</title>
		<link>https://robohub.org/watch-this-omnicopter-fetch-a-ball/</link>
		
		<dc:creator><![CDATA[Dario Brescianini]]></dc:creator>
		<pubDate>Wed, 17 May 2017 11:39:36 +0000</pubDate>
				<category><![CDATA[education]]></category>
		<category><![CDATA[ETH Zurich]]></category>
		<category><![CDATA[Flying Machine Arena]]></category>
		<category><![CDATA[research]]></category>
		<category><![CDATA[UAVs & drones]]></category>
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					<description><![CDATA[We have developed a computationally efficient trajectory generator for six degrees-of-freedom multirotor vehicles, i.e. vehicles that can independently control their position and attitude. The trajectory generator is capable of generating approximately 500&#8217;000 trajectories per second that guide the multirotor vehicle from any initial state, i.e. position, velocity and attitude, to any desired final state in [&#8230;]]]></description>
										<content:encoded><![CDATA[<a href="http://robohub.org/wp-content/uploads/2017/05/Dario-Brescianini-omnicopter-drone-aerial-robot.jpg" data-wpel-link="internal"><img fetchpriority="high" decoding="async" class="aligncenter size-full wp-image-78630" src="http://robohub.org/wp-content/uploads/2017/05/Dario-Brescianini-omnicopter-drone-aerial-robot.jpg" alt="" width="1440" height="783" srcset="https://robohub.org/wp-content/uploads/2017/05/Dario-Brescianini-omnicopter-drone-aerial-robot.jpg 1440w, https://robohub.org/wp-content/uploads/2017/05/Dario-Brescianini-omnicopter-drone-aerial-robot-425x231.jpg 425w, https://robohub.org/wp-content/uploads/2017/05/Dario-Brescianini-omnicopter-drone-aerial-robot-768x418.jpg 768w, https://robohub.org/wp-content/uploads/2017/05/Dario-Brescianini-omnicopter-drone-aerial-robot-1024x557.jpg 1024w" sizes="(max-width: 1440px) 100vw, 1440px" /></a>
<p>We have developed a computationally efficient trajectory generator for six degrees-of-freedom multirotor vehicles, i.e. vehicles that can independently control their position and attitude. The trajectory generator is capable of generating approximately 500&#8217;000 trajectories per second that guide the multirotor vehicle from any initial state, i.e. position, velocity and attitude, to any desired final state in a given time. In this video, we show an example application that requires the evaluation of a large number of trajectories in real time.<span id="more-78628"></span></p>
<div class="keep-aspect"><iframe title="Fetching Omnicopter" width="500" height="281" src="https://www.youtube-nocookie.com/embed/0gR1ekapOAE?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe></div>
<p></p>
<h2>Multirotor vehicle</h2>
<p>The multirotor vehicle used in the demonstration is an omni-directional eight-rotor vehicle. Its unique actuator configuration gives it full force and torque authority in all three dimensions, allowing it to fly novel maneuvers. For more details, please refer to the Youtube video or the research paper: <a href="http://flyingmachinearena.org/wp-content/publications/2016/breIEEE16.pdf" target="_blank" rel="noopener noreferrer follow external" data-wpel-link="external">&#8220;Design, Modeling and Control of an Omni-Directional Aerial Vehicle&#8221;</a>, IEEE International Conference on Robotics and Automation (ICRA), 2016.</p>
<div class="keep-aspect"><iframe title="The Omnicopter" width="500" height="281" src="https://www.youtube-nocookie.com/embed/sIi80LMLJSY?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe></div>
<p></p>
<h2>Researchers</h2>
<p>Dario Brescianini and Raffaello D&#8217;Andrea<br />
Institute for Dynamic Systems and Control (IDSC), ETH Zurich, Switzerland &#8211; <a class="yt-uix-servicelink " href="http://www.idsc.ethz.ch/" target="_blank" rel="nofollow noopener noreferrer" data-target-new-window="True" data-url="http://www.idsc.ethz.ch" data-servicelink="CC8Q6TgYACITCJy33L3j9tMCFQVTFgod6fwNcSj4HQ">http://www.idsc.ethz.ch</a></p>
<h2>Location</h2>
<p><a href="http://www.flyingmachinearena.org" target="_blank" rel="noopener noreferrer follow external" data-wpel-link="external">Flying Machine Arena</a>, ETH Zurich, Switzerland.</p>
<h2>Acknowledgements</h2>
<p>This work is supported by and builds upon prior contributions by numerous collaborators in the Flying Machine Arena project. See the list <a href="http://www.flyingmachinearena.org/people" target="_blank" rel="noopener noreferrer follow external" data-wpel-link="external">here</a>. This research was supported by the Swiss National Science Foundation (SNSF).</p>
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