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--- Call for papers - Apologies for multiple posting ---</p>
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<b class="x_ContentPasted0 ContentPasted0">Workshop on Deep Learning for Field Robotics: tools, methods, and challenges</b></p>
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<i class="x_ContentPasted0 ContentPasted0">Held in conjunction with the “22nd International Conference on Image Analysis and Processing (ICIAP)” - September 11-15, 2023, Udine (Italy) </i></p>
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<i class="x_ContentPasted0 ContentPasted0">Website: <a href="https://es.sonicurlprotection-fra.com/click?PV=2&MSGID=202305231602530146709&URLID=2&ESV=10.0.19.7431&IV=2CECEB1CDD79DB7DB2DF504FC8E76493&TT=1684857776325&ESN=NG%2F5XjhKVs8aUcT6ViWZRaTk3aZ8SCUT5oZlbWrH0z4%3D&KV=1536961729280&B64_ENCODED_URL=aHR0cHM6Ly9zaXRlcy5nb29nbGUuY29tL3ZpZXcvZGVlcC1sZWFybmluZy1maWVsZC1yb2JvdGljcw&HK=6066FEB2C37D74DC860B09AFAA28BF63A541888DA45E4093D30AD82A2E55535E" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" class="x_x_moz-txt-link-freetext x_ContentPasted0 ContentPasted0" data-ogsc="" data-linkindex="0">
https://sites.google.com/view/deep-learning-field-robotics</a></i></p>
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<div><b class="x_ContentPasted0 ContentPasted0">About</b></div>
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ICIAP 2023 is the 22nd edition of a biennial series of conferences by CVPL, the Italian Member Society of the International Association for Pattern Recognition (IAPR). The conference focuses on classic and recent trends in computer vision, pattern recognition,
and image processing and covers theoretical and applicative aspects. The event is hosted by the University of Udine, located in the downtown center of Udine. Udine is located in Friuli-Venezia Giulia region, in the North East of Italy, about 140 km from Venice
and 80 km from Trieste.</p>
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The goal of the workshop is to gather the current results lying at the intersection of deep learning and field robotics in outdoor unstructured environments, embracing the broad realm of unmanned aerial, ground, and marine vehicles. The ultimate goal is to
foster interaction between the two related communities, by sharing successful stories and promising directions to solve the current open challenges in deploying DL-based solutions in the wild. Special attention will be given to simulators and benchmarking
tools as crucial elements in the development and testing of novel methods in hazardous environments where the robot may be irreparably damaged.
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<b class="x_ContentPasted0 ContentPasted0">Topics</b></p>
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<span class="x_x_C9DxTc x_ContentPasted0 ContentPasted0">Potential topics include, but are not limited to:</span></p>
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<span class="x_x_C9DxTc x_ContentPasted0 ContentPasted0">Reinforcement learning methods for autonomous robots</span></p>
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<p dir="ltr" class="x_x_zfr3Q x_x_CDt4Ke" style="border-bottom:none;border-left:none;border-right:none;border-top:none;line-height:1.38;margin-bottom:0.0pt;margin-left:0.0pt;margin-top:0.0pt;padding-bottom:0.0pt;padding-left:0.0pt;padding-right:0.0pt;padding-top:0.0pt;text-indent:0.0pt">
<span class="x_x_C9DxTc x_ContentPasted0 ContentPasted0">Offline reinforcement learning</span></p>
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<p dir="ltr" class="x_x_zfr3Q x_x_CDt4Ke" style="border-bottom:none;border-left:none;border-right:none;border-top:none;line-height:1.38;margin-bottom:0.0pt;margin-left:0.0pt;margin-top:0.0pt;padding-bottom:0.0pt;padding-left:0.0pt;padding-right:0.0pt;padding-top:0.0pt;text-indent:0.0pt">
<span class="x_x_C9DxTc x_ContentPasted0 ContentPasted0">Vision based navigation</span></p>
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<span class="x_x_C9DxTc x_ContentPasted0 ContentPasted0">Sim-to-real transfer </span></p>
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<span class="x_x_C9DxTc x_ContentPasted0 ContentPasted0">Photo-realistic simulation environments</span></p>
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<p dir="ltr" class="x_x_zfr3Q x_x_CDt4Ke" style="border-bottom:none;border-left:none;border-right:none;border-top:none;line-height:1.38;margin-bottom:0.0pt;margin-left:0.0pt;margin-top:0.0pt;padding-bottom:0.0pt;padding-left:0.0pt;padding-right:0.0pt;padding-top:0.0pt;text-indent:0.0pt">
<span class="x_x_C9DxTc x_ContentPasted0 ContentPasted0">Safety deployment of robots</span></p>
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<p dir="ltr" class="x_x_zfr3Q x_x_CDt4Ke" style="border-bottom:none;border-left:none;border-right:none;border-top:none;line-height:1.38;margin-bottom:0.0pt;margin-left:0.0pt;margin-top:0.0pt;padding-bottom:0.0pt;padding-left:0.0pt;padding-right:0.0pt;padding-top:0.0pt;text-indent:0.0pt">
<span class="x_x_C9DxTc x_ContentPasted0 ContentPasted0">Hybrid control methodologies </span></p>
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<p dir="ltr" class="x_x_zfr3Q x_x_CDt4Ke" style="border-bottom:none;border-left:none;border-right:none;border-top:none;line-height:1.38;margin-bottom:0.0pt;margin-left:0.0pt;margin-top:0.0pt;padding-bottom:0.0pt;padding-left:0.0pt;padding-right:0.0pt;padding-top:0.0pt;text-indent:0.0pt">
<span class="x_x_C9DxTc x_ContentPasted0 ContentPasted0">Multi-agent reinforcement learning
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<p class="x_ContentPasted0 ContentPasted0"><b class="x_ContentPasted0 ContentPasted0">Important dates</b>
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Paper submission deadline: <span class="x_ContentPasted0 ContentPasted0" style="text-decoration:underline">
June 30, 2023</span></p>
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Notification to authors: <span class="x_ContentPasted0 ContentPasted0" style="text-decoration:underline">
July 30, 2023</span></p>
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Camera-ready deadline: <span class="x_ContentPasted0 ContentPasted0" style="text-decoration:underline">
August 15, 2023</span></p>
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<b class="x_ContentPasted0 ContentPasted0">Proceedings</b>
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Accepted papers will be published in Springer LNCS in a separate proceedings book.</p>
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<b class="x_ContentPasted0 ContentPasted0">Organizers</b>
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Dario C. Guastella (University of Catania, Italy)</p>
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Simone Palazzo (University of Catania, Italy)</p>
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Ignacio Carlucho (Heriot-Watt University, UK)</p>
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Giuseppe Sutera (University of Catania, Italy)</p>
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We hope to see you in Udine!</p>
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