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	<title>Masatoshi Ishikawa &#8211; Robohub</title>
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	<lastBuildDate>Thu, 16 Oct 2014 19:12:59 +0000</lastBuildDate>
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		<title>Bipedal robot uses high-speed vision to run</title>
		<link>https://robohub.org/bipedal-robot-uses-high-speed-vision-to-run/</link>
		
		<dc:creator><![CDATA[Masatoshi Ishikawa]]></dc:creator>
		<pubDate>Wed, 15 Oct 2014 20:54:55 +0000</pubDate>
				<category><![CDATA[news]]></category>
		<category><![CDATA[bipedal robot]]></category>
		<category><![CDATA[control]]></category>
		<category><![CDATA[Japan]]></category>
		<category><![CDATA[machine vision]]></category>
		<category><![CDATA[research]]></category>
		<category><![CDATA[University of Tokyo]]></category>
		<guid isPermaLink="false">http://robohub.org/bipedal-robot-uses-high-speed-vision-to-run/</guid>

					<description><![CDATA[We have developed a visually controlled bipedal running robot named ACHIRES: Actively Coordinated High-speed Image-processing Running Experiment System. . Its key technologies are high-speed vision for recognizing the posture of the robot at 600 fps, and high-speed actuation for realizing high speed motion. The combination of these technologies plays an important role in the robot&#8217;s [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>We have developed a visually controlled bipedal running robot named <a href="http://www.k2.t.u-tokyo.ac.jp/fusion/BipedalRunning/" data-wpel-link="external" target="_blank" rel="follow external noopener noreferrer">ACHIRES</a>: Actively Coordinated High-speed Image-processing Running Experiment System. <span  class="tweetquote"><a href="https://twitter.com/home/?status=This robot has a leg length of 14cm and 6 degrees of freedom, and can run in the sagittal plane at 4.2 km/h https://robohub.org/bipedal-robot-uses-high-speed-vision-to-run/ @Robohub " target="_blank" data-wpel-link="external" rel="follow external noopener noreferrer"> This robot has a leg length of 14cm and 6 degrees of freedom, and can run in the sagittal plane at 4.2 km/h&nbsp;</a></span>. Its key technologies are high-speed vision for recognizing the posture of the robot at 600 fps, and high-speed actuation for realizing high speed motion. The combination of these technologies plays an important role in the robot&#8217;s ability to run stably at high speeds.<span id="more-39879"></span></p>
<div class="keep-aspect"><iframe title="ACHIRES: Bipedal Running Using High-speed Visual Feedback" width="500" height="281" src="https://www.youtube-nocookie.com/embed/n0xRcFqwnCM?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>
<p>In our laboratory we develop various types of high-speed vision hardware and algorithms that can implement high-speed image processing with a sampling time from 10ms up to 1ms. High-speed vision can provide control data at the same sampling rate as that of the servo controller used for the robot actuators. This means that vision can control actuators just like other sensors e.g. an encoder. Although at present the camera is located off board the robot, it will be attached to the body in future iterations.</p>
<p>In addition, we developed a light-weight, high-power actuator for high-speed motion. Its torque per weight ratio is 3.5 times higher than that of previous products of same actuators.</p>
<p>Those technologies are used in <a href="https://www.youtube.com/watch?v=W9bcekk_QS0" data-wpel-link="external" target="_blank" rel="follow external noopener noreferrer">various demonstrations of our robots</a> such as:</p>
<ul>
<li><a href="https://www.youtube.com/watch?v=ZVNnoOcohaU" data-wpel-link="external" target="_blank" rel="follow external noopener noreferrer">Janken (Rock Paper Scissors)</a></li>
<li><a href="https://www.youtube.com/watch?v=1U-cBa9Lz3U" data-wpel-link="external" target="_blank" rel="follow external noopener noreferrer">batting</a></li>
<li><a href="https://www.youtube.com/watch?v=Sz-nCCZkigg" data-wpel-link="external" target="_blank" rel="follow external noopener noreferrer">raw egg catching</a></li>
<li><a href="https://www.youtube.com/watch?v=2llqv0CUiMI" data-wpel-link="external" target="_blank" rel="follow external noopener noreferrer">regrasping</a></li>
<li><a href="https://www.youtube.com/watch?v=dmi_pwhYUvY" data-wpel-link="external" target="_blank" rel="follow external noopener noreferrer">dribbling</a></li>
<li><a href="https://www.youtube.com/watch?v=vEjq9vosK5Y" data-wpel-link="external" target="_blank" rel="follow external noopener noreferrer">picking up with tweezers</a></li>
<li><a href="https://www.youtube.com/watch?v=5SKxoi1kxCg" data-wpel-link="external" target="_blank" rel="follow external noopener noreferrer">flexible material handling</a></li>
<li><a href="https://www.youtube.com/watch?v=03ccxwNssmo" data-wpel-link="external" target="_blank" rel="follow external noopener noreferrer">book flipping scanning</a></li>
<li><a href="https://www.youtube.com/watch?v=9Q_lcFZOgVo" data-wpel-link="external" target="_blank" rel="follow external noopener noreferrer">1ms pan/tilt</a></li>
<li><a href="https://www.youtube.com/watch?v=umuFSC7W0b0" data-wpel-link="external" target="_blank" rel="follow external noopener noreferrer">micro visual feedback</a></li>
</ul>
<p>The running algorithm used in the ACHIRES robot is different from those typically used in other running robots. While most running robots use a method based on ZMP-criteria for maintaining stable and balanced posture, we introduced a very simple algorithm using high-speed performance of a sensory-motor system without ZMP criteria. The aerial posture is recovered to compensate for the deviation from the stable trajectory using high-speed visual feedback.</p>
<p style="text-align: center;"><a href="http://www.k2.t.u-tokyo.ac.jp/fusion/BipedalRunning/" data-wpel-link="external" target="_blank" rel="follow external noopener noreferrer"><img fetchpriority="high" decoding="async" class=" wp-image-39897 aligncenter" alt="BiPedal" src="http://robohub.org/wp-content/uploads/2014/10/BiPedal.jpg" width="800" height="166" srcset="https://robohub.org/wp-content/uploads/2014/10/BiPedal.jpg 800w, https://robohub.org/wp-content/uploads/2014/10/BiPedal-425x88.jpg 425w, https://robohub.org/wp-content/uploads/2014/10/BiPedal-500x103.jpg 500w" sizes="(max-width: 800px) 100vw, 800px" /></a></p>
<p>It took four years to develop ACHIRES, in part because analyzing robot dynamics that are faster than video capture rates requires high speed video analysis. You can see how the abilities of the robot have evolved since the project was first started in 2009:</p>
<div class=" "><iframe title="Running Progress - The History of Project ACHIRES -" width="500" height="281" src="https://www.youtube-nocookie.com/embed/rkB87epAFWk?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>
<p>Although ACHIRES is a research platform with no direct application at the present moment, the combination of high-speed vision and actuation could be applied to various types of high-speed intelligent systems, including high-speed robots, manufacturing systems, aircraft, microscope image control for bio/medical applications, and human-machine interfaces. We believe it will open new era of visual feed back systems.</p>
<p>More info:<br />
<a href="http://www.k2.t.u-tokyo.ac.jp/fusion/BipedalRunning/index-e.html" data-wpel-link="external" target="_blank" rel="follow external noopener noreferrer">Project Website</a><br />
<a href="https://www.youtube.com/user/IshikawaLab" data-wpel-link="external" target="_blank" rel="follow external noopener noreferrer">YouTube channel</a></p>
<p>Reference: T. Tamada, W. Ikarashi, D. Yoneyama, K. Tanaka, Y. Yamakawa, T. Senoo, M. Ishikawa: <span style="text-decoration: underline;">High Speed Bipedal Robot Running Using High Speed Visual Feedback</span>, The Robotics Society of Japan The 32nd Annual Conference (RSJ2014) (Fukuoka, 2014)/1B2-03.</p>
<p>&nbsp;</p>
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