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	<title>François Pomerleau &#8211; Robohub</title>
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		<title>Robots in the rough: Demo day at FSR Toronto</title>
		<link>https://robohub.org/robots-in-the-rough-demo-day-at-fsr-toronto/</link>
		
		<dc:creator><![CDATA[François Pomerleau]]></dc:creator>
		<pubDate>Tue, 07 Jul 2015 17:21:15 +0000</pubDate>
				<category><![CDATA[news]]></category>
		<category><![CDATA[Canada]]></category>
		<category><![CDATA[field and service robotics]]></category>
		<category><![CDATA[FSR]]></category>
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					<description><![CDATA[Nothing proves a robot&#8217;s mettle like a live demonstration in front of a discerning crowd. Check out these photos and videos from Demo Day at the recent Field and Service Robotics conference (FSR) in Toronto.  &#160; Tethered Robotic Explorer (TReX) Autonomous Space Robotics Lab (Tim Barfoot), University of Toronto &#160; &#160; &#160; &#160; &#160; TReX build &#160; &#160; Grizzly [&#8230;]]]></description>
										<content:encoded><![CDATA[<p><em>Nothing proves a robot&#8217;s mettle like a live demonstration in front of a discerning crowd. Check out these photos and videos from Demo Day at the recent Field and Service Robotics conference (FSR) in Toronto. </em></p>
<p><span id="more-51717"></span></p>
<p>&nbsp;</p>
<h2>Tethered Robotic Explorer (TReX)</h2>
<p><a href="http://asrl.utias.utoronto.ca/" data-wpel-link="external" target="_blank" rel="follow external noopener noreferrer">Autonomous Space Robotics Lab</a> (Tim Barfoot), University of Toronto</p>
<p>&nbsp;</p>
<div id="attachment_51722" style="width: 1010px" class="wp-caption alignnone"><a href="https://photos.google.com/share/AF1QipNvIyLe6pjEGJVsrUQut23e3-wY9SPVOo1rTQ_XL5rJ8FJQuSnWBa_O7fMEncM7PQ/photo/AF1QipMnxQf2kiGu24PRQayb9ZCs1exhsgZc2WYIAFHL?key=UDh2aGQtUndHaEhHZHJ2Nll1c3BJOVFJcUtiQW93" data-wpel-link="external" target="_blank" rel="follow external noopener noreferrer"><img fetchpriority="high" decoding="async" aria-describedby="caption-attachment-51722" class="size-full wp-image-51722" src="http://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_Tether_outdoor.jpg" alt="June 26, 2015 - The Tethered Robotic Explorer (TReX) robot being described by Patrick McGarey to a visiting group. The newly conceived platform was unveil to the public for the first time. TReX can climb many kind of steep terrain with the help of its onboard tether management system. It weighs roughly 90 kg and was built over a Husky from Clearpath Robotics. Photo credit: François Pomerleau - University of Toronto" width="1000" height="662" srcset="https://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_Tether_outdoor.jpg 1000w, https://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_Tether_outdoor-425x281.jpg 425w, https://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_Tether_outdoor-453x300.jpg 453w" sizes="(max-width: 1000px) 100vw, 1000px" /></a><p id="caption-attachment-51722" class="wp-caption-text">June 26, 2015 &#8211; Patrick McGarey unveiling the new Tethered Robotic Explorer (TReX) robot to a group of attendees at the Field and Service Robotics conference (FSR) demo day.  Photo credit: François Pomerleau &#8211; University of Toronto.</p></div>
<p>&nbsp;</p>
<div id="attachment_51747" style="width: 1010px" class="wp-caption alignnone"><img decoding="async" aria-describedby="caption-attachment-51747" class="wp-image-51747 size-full" src="http://robohub.org/wp-content/uploads/2015/07/Trex_FSR.jpg" alt="Trex_FSR" width="1000" height="750" srcset="https://robohub.org/wp-content/uploads/2015/07/Trex_FSR.jpg 1000w, https://robohub.org/wp-content/uploads/2015/07/Trex_FSR-425x319.jpg 425w, https://robohub.org/wp-content/uploads/2015/07/Trex_FSR-400x300.jpg 400w" sizes="(max-width: 1000px) 100vw, 1000px" /><p id="caption-attachment-51747" class="wp-caption-text">TReX can climb various kinds of steep terrain with the help of its onboard tether management system. Here it climbs a 60 degree metallic roof of the UTIAS Mars Dome. Photo credit: Hallie Siegel.</p></div>
<p>&nbsp;</p>
<div id="attachment_51745" style="width: 1010px" class="wp-caption alignnone"><a href="https://lh3.googleusercontent.com/NbzVhF-OKewj3-147ZuXiB-MnfdjGl_Fhhr6UovSA6Q=w1582-h2386-no" data-wpel-link="external" target="_blank" rel="follow external noopener noreferrer"><img decoding="async" aria-describedby="caption-attachment-51745" class="size-full wp-image-51745" src="http://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_tether_2.jpg" alt="Photo credit:" width="1000" height="1509" srcset="https://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_tether_2.jpg 1000w, https://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_tether_2-282x425.jpg 282w, https://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_tether_2-679x1024.jpg 679w, https://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_tether_2-199x300.jpg 199w" sizes="(max-width: 1000px) 100vw, 1000px" /></a><p id="caption-attachment-51745" class="wp-caption-text">June 26, 2015 &#8211; TReX climbs a small flight of stairs before entering the Mars Dome at UTIAS. Photo credit: François Pomerleau &#8211; University of Toronto.</p></div>
<p>&nbsp;</p>
<div id="attachment_51724" style="width: 1010px" class="wp-caption alignnone"><a href="https://photos.google.com/share/AF1QipNvIyLe6pjEGJVsrUQut23e3-wY9SPVOo1rTQ_XL5rJ8FJQuSnWBa_O7fMEncM7PQ/photo/AF1QipN1JLJtz_pqK2u4Xc-SwK-94brbrUAiF1PIyR7U?key=UDh2aGQtUndHaEhHZHJ2Nll1c3BJOVFJcUtiQW93" data-wpel-link="external" target="_blank" rel="follow external noopener noreferrer"><img decoding="async" aria-describedby="caption-attachment-51724" class="wp-image-51724 size-full" src="http://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_Tether.jpg" alt="June 26, 2015 - TReX climbs a small flight of stairs. Photo credit: François Pomerleau - University of Toronto." width="1000" height="662" srcset="https://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_Tether.jpg 1000w, https://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_Tether-425x281.jpg 425w, https://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_Tether-453x300.jpg 453w" sizes="(max-width: 1000px) 100vw, 1000px" /></a><p id="caption-attachment-51724" class="wp-caption-text">TReX weighs roughly 90 kg and was built on a Husky from Clearpath Robotics. Photo credit: François Pomerleau &#8211; University of Toronto.</p></div>
<p>&nbsp;</p>
<p>TReX build</p>
<div class="keep-aspect"><iframe title="TReX (Tethered Robotic Explorer) @ UTIAS (FSR 2015)" width="500" height="281" src="https://www.youtube-nocookie.com/embed/i7e7iHxMmu0?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>&nbsp;</p>
<p>&nbsp;</p>
<div style="clear:both"></div>
<h2>Grizzly RUV</h2>
<p><a href="http://asrl.utias.utoronto.ca/" data-wpel-link="external" target="_blank" rel="follow external noopener noreferrer">Autonomous Space Robotics Lab</a> (Tim Barfoot), University of Toronto</p>
<p>&nbsp;</p>
<div id="attachment_51749" style="width: 1010px" class="wp-caption alignnone"><a href="https://photos.google.com/share/AF1QipNvIyLe6pjEGJVsrUQut23e3-wY9SPVOo1rTQ_XL5rJ8FJQuSnWBa_O7fMEncM7PQ/photo/AF1QipO4EJV1Q6nzIeQ3n19LETxKAYdRyxwQyxirenTV?key=UDh2aGQtUndHaEhHZHJ2Nll1c3BJOVFJcUtiQW93" data-wpel-link="external" target="_blank" rel="follow external noopener noreferrer"><img decoding="async" aria-describedby="caption-attachment-51749" class="size-full wp-image-51749" src="http://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_Grizzly_Indoors.jpg" alt="June 26, 2015 -  Grizzly RUV negotiating a sharp turn on a bumpy terrain composed of sand and gravel. The Grizzly RUV is built by Clearpath Robotics and weighs around 1000 kg. Autonomous driving capabilities were demonstrated over a long distance using only one stereo camera in a GPS denied environment. Photo credit: François Pomerleau - University of Toronto." width="1000" height="662" srcset="https://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_Grizzly_Indoors.jpg 1000w, https://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_Grizzly_Indoors-425x281.jpg 425w, https://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_Grizzly_Indoors-453x300.jpg 453w" sizes="(max-width: 1000px) 100vw, 1000px" /></a><p id="caption-attachment-51749" class="wp-caption-text">June 26, 2015 &#8211; Grizzly RUV negotiating a sharp turn on a bumpy terrain composed of sand and gravel. The Grizzly RUV is built by Clearpath Robotics and weighs around 1000 kg. Autonomous driving capabilities were demonstrated over a long distance using only one stereo camera in a GPS denied environment. Photo credit: François Pomerleau &#8211; University of Toronto.</p></div>
<p>&nbsp;</p>
<div id="attachment_51748" style="width: 1010px" class="wp-caption alignnone"><a href="https://photos.google.com/share/AF1QipNvIyLe6pjEGJVsrUQut23e3-wY9SPVOo1rTQ_XL5rJ8FJQuSnWBa_O7fMEncM7PQ/photo/AF1QipNOIz8-TmWOyluIdsA7vQgCf0kMkBmp-cD1uujv?key=UDh2aGQtUndHaEhHZHJ2Nll1c3BJOVFJcUtiQW93" data-wpel-link="external" target="_blank" rel="follow external noopener noreferrer"><img decoding="async" aria-describedby="caption-attachment-51748" class="size-full wp-image-51748" src="http://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_Grizzly_RUV.jpg" alt=" Grizzly RUV crossing dense vegetation and reaching autonomously one of its intermediate goal under the blue gazebo. The robot drove through different types of environments (ex.: indoor, outdoor, road, tall grass) using the same algorithms.  Photo credit: François Pomerleau - University of Toronto." width="1000" height="662" srcset="https://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_Grizzly_RUV.jpg 1000w, https://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_Grizzly_RUV-425x281.jpg 425w, https://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_Grizzly_RUV-453x300.jpg 453w" sizes="(max-width: 1000px) 100vw, 1000px" /></a><p id="caption-attachment-51748" class="wp-caption-text">Grizzly RUV crossing dense vegetation and reaching autonomously one of its intermediate goals under a blue gazebo. The robot can drive through different types of environments &#8212; indoors, outdoors, on roads, and through tall grasses &#8212; using the same algorithms. Photo credit: François Pomerleau &#8211; University of Toronto.</p></div>
<div class="keep-aspect"><iframe title="Colour-Constant VT&amp;R @ UTIAS (ICRA 2015)" width="500" height="281" src="https://www.youtube-nocookie.com/embed/KT6JkecDmv8?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>&nbsp;</p>
<div style="clear:both"></div>
<h2>Robust control for quadcopters</h2>
<p><a href="http://www.dynsyslab.org/" data-wpel-link="external" target="_blank" rel="follow external noopener noreferrer">Dynamic Systems Lab</a> (Angela Schoellig), University of Toronto</p>
<p>&nbsp;</p>
<div id="attachment_51750" style="width: 1010px" class="wp-caption alignnone"><a href="https://photos.google.com/share/AF1QipNvIyLe6pjEGJVsrUQut23e3-wY9SPVOo1rTQ_XL5rJ8FJQuSnWBa_O7fMEncM7PQ/photo/AF1QipPes0DFC-MUQOFHc3GzY9oMl_FIWFKP8CGmfZio?key=UDh2aGQtUndHaEhHZHJ2Nll1c3BJOVFJcUtiQW93" data-wpel-link="external" target="_blank" rel="follow external noopener noreferrer"><img decoding="async" aria-describedby="caption-attachment-51750" class="size-full wp-image-51750" src="http://robohub.org/wp-content/uploads/2015/07/FSR_UTIAS_Quadrotor_Schoellig.jpg" alt="June 26, 2015 - Karime Pereida Pérez launching a flight sequence for an Unmanned Aerial Vehicle (UAV). In the background, Rikky Duivenvoorden awaiting to apply interference forces on the UAV from inside the flying arena. Robust control under large perturbations was demonstrated using a quadcopter tracked by a Vicon system.  Photo credit: François Pomerleau - University of Toronto. " width="1000" height="662" srcset="https://robohub.org/wp-content/uploads/2015/07/FSR_UTIAS_Quadrotor_Schoellig.jpg 1000w, https://robohub.org/wp-content/uploads/2015/07/FSR_UTIAS_Quadrotor_Schoellig-425x281.jpg 425w, https://robohub.org/wp-content/uploads/2015/07/FSR_UTIAS_Quadrotor_Schoellig-453x300.jpg 453w" sizes="(max-width: 1000px) 100vw, 1000px" /></a><p id="caption-attachment-51750" class="wp-caption-text">June 26, 2015 &#8211; Robust control under large perturbations was demonstrated using a quadcopter tracked by a Vicon system. Photo credit: François Pomerleau &#8211; University of Toronto.</p></div>
<p>&nbsp;</p>
<div id="attachment_51751" style="width: 1010px" class="wp-caption alignnone"><a href="https://photos.google.com/share/AF1QipNvIyLe6pjEGJVsrUQut23e3-wY9SPVOo1rTQ_XL5rJ8FJQuSnWBa_O7fMEncM7PQ/photo/AF1QipPZsRwaBZJ35n-P74kyd9rD9Gbyl5y5fam4RZkl?key=UDh2aGQtUndHaEhHZHJ2Nll1c3BJOVFJcUtiQW93" data-wpel-link="external" target="_blank" rel="follow external noopener noreferrer"><img decoding="async" aria-describedby="caption-attachment-51751" class="size-full wp-image-51751" src="http://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_Quadrotor_Schoellig_2.jpg" alt="Karime Pereida Pérez launching a flight sequence for an Unmanned Aerial Vehicle (UAV). In the background, Rikky Duivenvoorden awaiting to apply interference forces on the UAV from inside the flying arena. Photo credit: François Pomerleau - University of Toronto." width="1000" height="662" srcset="https://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_Quadrotor_Schoellig_2.jpg 1000w, https://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_Quadrotor_Schoellig_2-425x281.jpg 425w, https://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_Quadrotor_Schoellig_2-453x300.jpg 453w" sizes="(max-width: 1000px) 100vw, 1000px" /></a><p id="caption-attachment-51751" class="wp-caption-text">June 26, 2105 &#8211; Karime Pereida Pérez launching a flight sequence for an Unmanned Aerial Vehicle (UAV). In the background, Rikky Duivenvoorden awaiting to apply interference forces on the UAV from inside the flying arena. Photo credit: François Pomerleau &#8211; University of Toronto.</p></div>
<div class="keep-aspect"><iframe title="Robust Learning Control Based on Gaussian Process Regression" width="500" height="281" src="https://www.youtube-nocookie.com/embed/YqhLnCm0KXY?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>
<div class="keep-aspect"><iframe title="Safe and Robust Quadrotor Maneuvers Based on Reach Control" width="500" height="281" src="https://www.youtube-nocookie.com/embed/l4vdxdmd2xc?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>&nbsp;</p>
<div style="clear:both"></div>
<h2>Hexrotor drone</h2>
<p><a href="http://wavelab.uwaterloo.ca/" data-wpel-link="external" target="_blank" rel="follow external noopener noreferrer">Waterloo Autonomous Vehicles Laboratory </a>(Steven Waslander), University of Waterloo</p>
<p>&nbsp;</p>
<div id="attachment_51753" style="width: 1010px" class="wp-caption alignnone"><a href="https://photos.google.com/share/AF1QipNvIyLe6pjEGJVsrUQut23e3-wY9SPVOo1rTQ_XL5rJ8FJQuSnWBa_O7fMEncM7PQ/photo/AF1QipMoXRp4fOOknj8fzJzBySb9uwUvaIOQW3tnVcq4?key=UDh2aGQtUndHaEhHZHJ2Nll1c3BJOVFJcUtiQW93" data-wpel-link="external" target="_blank" rel="follow external noopener noreferrer"><img decoding="async" aria-describedby="caption-attachment-51753" class="size-full wp-image-51753" src="http://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_Waterloo_Hexrotor.jpg" alt="June 26, 2015 - The Waterloo Autonomous Vehicles Laboratory hexrotor drone, affectionately named Olga, sports three high-speed wide field-of-view cameras, which it uses to determine its own motion in unknown environments. Olga recently flew in Kelowna, BC at the NCFRN Field Trials, where it used the multi-camera cluster to construct maps of cliff faces and hiking trails, similar to those needed in mining and agriculture inspection applications. Photo credit: François Pomerleau - University of Toronto." width="1000" height="662" srcset="https://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_Waterloo_Hexrotor.jpg 1000w, https://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_Waterloo_Hexrotor-425x281.jpg 425w, https://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_Waterloo_Hexrotor-453x300.jpg 453w" sizes="(max-width: 1000px) 100vw, 1000px" /></a><p id="caption-attachment-51753" class="wp-caption-text">June 26, 2015 &#8211; The Waterloo Autonomous Vehicles Laboratory hexrotor drone, affectionately named Olga, sports three high-speed wide field-of-view cameras, which it uses to determine its own motion in unknown environments. Olga recently flew in Kelowna, BC at the NCFRN Field Trials, where it used the multi-camera cluster to construct maps of cliff faces and hiking trails, similar to those needed in mining and agriculture inspection applications. Photo credit: François Pomerleau &#8211; University of Toronto.</p></div>
<p>&nbsp;</p>
<div class=" "><iframe title="Multi-Camera Parallel Tracking and Mapping (MCPTAM) Software" width="500" height="281" src="https://www.youtube-nocookie.com/embed/mDe8MDa-Qm0?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>&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;</p>
<h2>SL Commander</h2>
<p><a href="http://www.mdacorporation.com/" data-wpel-link="external" target="_blank" rel="follow external noopener noreferrer">MDA Robotics and Automation</a></p>
<div id="attachment_51755" style="width: 1010px" class="wp-caption alignnone"><a href="https://photos.google.com/share/AF1QipNvIyLe6pjEGJVsrUQut23e3-wY9SPVOo1rTQ_XL5rJ8FJQuSnWBa_O7fMEncM7PQ/photo/AF1QipNkBvDHGG1avvSqh0qtXKNMeC1nf8WWkAFAdYJn?key=UDh2aGQtUndHaEhHZHJ2Nll1c3BJOVFJcUtiQW93" data-wpel-link="external" target="_blank" rel="follow external noopener noreferrer"><img decoding="async" aria-describedby="caption-attachment-51755" class="size-full wp-image-51755" src="http://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_MDA_SL_Commander.jpg" alt="June 26, 2015 - The SL Commander with its sensor suite (laser, stereo camera, mono cameras) on a football field. The SL Commander was built by Bombardier Recreational Products (BRP) under the supervision of MDA. The rover is fully electric and weighs around 1200 kg. The maximal speed (40 km/h) and controllability of the platform were demonstrated by remotely operating the vehicle without a driver. Photo credit: François Pomerleau - University of Toronto." width="1000" height="662" srcset="https://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_MDA_SL_Commander.jpg 1000w, https://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_MDA_SL_Commander-425x281.jpg 425w, https://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_MDA_SL_Commander-453x300.jpg 453w" sizes="(max-width: 1000px) 100vw, 1000px" /></a><p id="caption-attachment-51755" class="wp-caption-text">June 26, 2015 &#8211; The SL Commander with its sensor suite (laser, stereo camera, mono cameras) on a football field. The SL Commander was built by Bombardier Recreational Products (BRP) under the supervision of MDA. The rover is fully electric and weighs around 1200 kg. The maximal speed (40 km/h) and controllability of the platform were demonstrated by remotely operating the vehicle without a driver. Photo credit: François Pomerleau &#8211; University of Toronto.</p></div>
<hr class="xh2  ">
<h2 class="p1">About FSR</h2>
<p class="p1">The bi-annual Field and Service Robotics conference is focused on applying robots to real-world problems such as monitoring lakes and oceans, autonomous wheelchairs, automated mining, space exploration, drones, and self-driving cars. You can learn more about FSR and the papers presented at this year&#8217;s conference on the <a href="http://fsr.utias.utoronto.ca/" data-wpel-link="external" target="_blank" rel="follow external noopener noreferrer">FSR Toronto</a> website, or check out the FSR Toronto coverage on <a href="http://robohub.org/tag/fsr/" data-wpel-link="internal">Robohub</a>. The next edition of FSR is schedule to take place in Zurich, Switzerland in 2017.</p>
<div id="attachment_51719" style="width: 1010px" class="wp-caption alignnone"><a href="https://photos.google.com/share/AF1QipNvIyLe6pjEGJVsrUQut23e3-wY9SPVOo1rTQ_XL5rJ8FJQuSnWBa_O7fMEncM7PQ/photo/AF1QipNcEcVCTslBs_C2D5Isx9fsl-bW9ZAwLEJYLkMI?key=UDh2aGQtUndHaEhHZHJ2Nll1c3BJOVFJcUtiQW93" data-wpel-link="external" target="_blank" rel="follow external noopener noreferrer"><img decoding="async" aria-describedby="caption-attachment-51719" class="size-full wp-image-51719" src="http://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_Demo_Day_Participants.jpg" alt="June 26, 2015 - Participants of the 10th Conference on Field and Service Robotics (FSR). The conference hosted roughly 100 participants and 42 original scientific papers were presented. Photo credit: François Pomerleau - University of Toronto" width="1000" height="662" srcset="https://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_Demo_Day_Participants.jpg 1000w, https://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_Demo_Day_Participants-425x281.jpg 425w, https://robohub.org/wp-content/uploads/2015/07/FSR_Pomerleau_Demo_Day_Participants-453x300.jpg 453w" sizes="(max-width: 1000px) 100vw, 1000px" /></a><p id="caption-attachment-51719" class="wp-caption-text">June 26, 2015 &#8211; Participants of the 10th Conference on Field and Service Robotics (FSR). The conference hosted roughly 100 participants and 42 original scientific papers were presented. Photo credit: François Pomerleau &#8211; University of Toronto.</p></div>
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