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<meta http-equiv="Content-Type" content="text/html; charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><div class="">[Call for participation]</div><div class=""><br class=""></div><div class=""><br class=""></div><div class="" style="font-family: HelveticaNeue;"><span class="">=====================================================================</span><span class="">=======================</span></div><div class="" style="font-family: HelveticaNeue;"><b class="">WORKSHOP: SEMANTIC POLICY AND ACTION REPRESENTATION FOR AUTONOMOUS ROBOTS / IROS 2021</b></div><div class="" style="font-family: HelveticaNeue;">============================================================================================</div><div class="" style="font-family: HelveticaNeue;"><br class=""></div><div class="" style="font-family: HelveticaNeue;">@ IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021)</div><div class="" style="font-family: HelveticaNeue;">Prague, Czech Republic. September 27, 2021</div><div class="" style="font-family: HelveticaNeue;"><br class=""></div><div class="" style="font-family: HelveticaNeue;">5th International Workshop on:</div><div class="" style="font-family: HelveticaNeue;">Semantic Policy and Action Representations for Autonomous Robots (SPAR)</div><div class="" style="font-family: HelveticaNeue;"><br class=""></div><div class="" style="font-family: HelveticaNeue;">Date: September 27, 2021.</div><div class="" style="font-family: HelveticaNeue;">Starting time: 14 hrs (CEST)</div><div class="" style="font-family: HelveticaNeue;">Zoom details & schedule: <a href="https://sites.google.com/view/spar-2021/" class="">https://sites.google.com/view/spar-2021/</a></div><div class="" style="font-family: HelveticaNeue;"><br class=""></div><div class="" style="font-family: HelveticaNeue;"><br class=""></div><div class="" style="font-family: HelveticaNeue;"><span class=""><b class="">WORKSHOP PROGRAMME</b> > Invited Talks. Panel Discussion. Poster Session+Spotlights. Awards.</span></div><div class="" style="font-family: HelveticaNeue;"><span class=""><br class=""></span></div><div class="" style="font-family: HelveticaNeue;"><span class=""><br class=""></span></div><div class="" style="font-family: HelveticaNeue;"><b class="">INVITED SPEAKERS</b> ></div><div class="" style="font-family: HelveticaNeue;"><br class=""></div><div class="" style="font-family: HelveticaNeue;"><span class="Apple-tab-span" style="white-space: pre;"> </span><span class="">— </span>Kalesha Bullard, FAIR</div><div class="" style="font-family: HelveticaNeue;"><span class="Apple-tab-span" style="white-space: pre;"> </span><span class="">— </span>Karthik Desinh, Univ. of Washington</div><div class="" style="font-family: HelveticaNeue;"><span class="Apple-tab-span" style="white-space: pre;"> </span><span class="">— </span>Aleksandra Faust, Google Brain</div><div class="" style="font-family: HelveticaNeue;"><span class="Apple-tab-span" style="white-space: pre;"> </span><span class="">— </span>Caelan Garrett, MIT</div><div class="" style="font-family: HelveticaNeue;"><span class="Apple-tab-span" style="white-space: pre;"> </span><span class="">— </span>Nakul Gopalan, Georgia Tech</div><div class="" style="font-family: HelveticaNeue;"><span class="Apple-tab-span" style="white-space: pre;"> </span><span class="">— </span>Gayane Kazhoyan, University of Bremen</div><div class="" style="font-family: HelveticaNeue;"><span class="Apple-tab-span" style="white-space: pre;"> </span><span class="">— </span>George Konidaris, Brown University</div><div class="" style="font-family: HelveticaNeue;"><span class="Apple-tab-span" style="white-space: pre;"> </span><span class="">— </span>Oliver Kroemer, Carnegie Mellon</div><div class="" style="font-family: HelveticaNeue;"><span class="Apple-tab-span" style="white-space: pre;"> </span><span class="">— </span>Tetsuya Ogata, Waseda University</div><div class="" style="font-family: HelveticaNeue;"><span class="Apple-tab-span" style="white-space: pre;"> </span><span class="">— </span>Matteo Severiano, University of Innsbruck</div><div class="" style="font-family: HelveticaNeue;"><span class="Apple-tab-span" style="white-space: pre;"> </span><span class="">— </span>Zhou Yu, Columbia University</div><div class="" style="font-family: HelveticaNeue;"><br class=""></div><div class="" style="font-family: HelveticaNeue;"><br class=""></div><div class="" style="font-family: HelveticaNeue;"><b class="">SPAR 2021 ORGANISERS</b> ></div><div class="" style="font-family: HelveticaNeue;"><br class=""></div><div class="" style="font-family: HelveticaNeue;"><span class="Apple-tab-span" style="white-space: pre;"> </span>— Chris Paxton (NVIDIA, United States)</div><div class="" style="font-family: HelveticaNeue;"><span class="Apple-tab-span" style="white-space: pre;"> </span>— Karinne Ramirez-Amaro (Chalmers University of Technology, Sweden)</div><div class="" style="font-family: HelveticaNeue;"><span class="Apple-tab-span" style="white-space: pre;"> </span>— Jesse Thomason (University of Southern California, United States)</div><div class="" style="font-family: HelveticaNeue;"><span class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>— Maria Eugenia Cabrera (</span><font color="#000000" face="HelveticaNeue" class="">University of Massachusetts Lowell, United States)</font></div><div class="" style="font-family: HelveticaNeue;"><span class="Apple-tab-span" style="white-space: pre;"> </span>— Mehul Bhatt (Örebro University, Sweden)</div><div class="" style="font-family: HelveticaNeue;"><br class=""></div><div class="" style="font-family: HelveticaNeue;"><br class=""></div><div class="" style="font-family: HelveticaNeue;"><i class="">The agenda of SPAR 2021 addresses two main questions</i>:</div><div class="" style="font-family: HelveticaNeue;"><br class=""></div><div class="" style="font-family: HelveticaNeue;">— How can we learn scalable and general semantic representations? In recent years, there has been a substantial contribution in semantic policy and action representation in the fields of robotics, computer vision, and machine learning. In this respect, we would like to invite experts in academia and motivate them to comment on the recent advances in semantic reasoning by addressing the problem of linking continuous sensory experiences and symbolic constructions to couple perception and execution of actions. In particular, we want to explore how these can make robot learning more scalable and generalisable to new tasks and environments. </div><div class="" style="font-family: HelveticaNeue;"><br class=""></div><div class="" style="font-family: HelveticaNeue;">— How can semantic information be used to create Explainable AI? We would like to invite researchers from a broad range of areas including task and motion planning, language learning, general-purpose machine learning, and human-robot interaction. Much of action semantics is definitionally tied to how robots and humans communicate, and one fundamental feature of these approaches should be that they allow a broad variety of people to benefit from advances in robotics, and to work alongside robots outside of laboratory environments. Building more understandable action representations is important as a way of building robotic systems that benefit society.</div><div class="" style="font-family: HelveticaNeue;"><br class=""></div><div class="" style="font-family: HelveticaNeue;"><br class=""></div><div class="" style="font-family: HelveticaNeue;"><span class="">INFO</span><span class=""> </span><span class=""> > </span><font color="#000000" class=""><a href="mailto:spar.workshop@gmail.com" class="">spar.workshop@gmail.com</a> / </font><span class=""><a href="https://sites.google.com/view/spar-2021/" class="">https://sites.google.com/view/spar-2021/</a></span></div><div class="" style="font-family: HelveticaNeue;">=====================================================================</div><div class=""><br class=""></div><div class=""><br class=""></div><div class=""><br class=""></div><div class="">
<div style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); font-family: "Helvetica Neue"; font-size: 14px; font-style: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-size-adjust: auto; -webkit-text-stroke-width: 0px; text-decoration: none;" class=""><div class="" style="font-size: 16px; line-height: normal;"><span class="" style="font-family: Calibri; font-size: 11px;"><br class="Apple-interchange-newline"><<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<</span><span class="" style="font-family: Calibri; font-size: 11px;"><<<<</span><span class="" style="font-family: Calibri; font-size: 11px;"><<<<</span><span class="" style="font-family: Calibri; font-size: 11px;"><<<<</span></div><div class="" style="font-size: 16px; font-family: Calibri; line-height: normal;"><span class="" style="font-size: 11px;"><br class=""></span></div><div class="" style="font-size: 16px; font-family: Calibri; line-height: normal;"><span class="" style="font-size: 11px;">Professor - School of Science and Technology - </span><span class="" style="font-size: 11px;">Örebro University, Sweden</span></div><div class="" style="font-size: 16px; line-height: normal;"><div class=""><font face="Calibri" class=""><div class=""><font face="Calibri" class=""><span class="" style="font-size: 11px;"><font class="" style="color: purple;"><a href="https://mailfilter.sunet.se/canit/urlproxy.php?_q=aHR0cHM6Ly91cmxkZWZlbnNlLnByb29mcG9pbnQuY29tL3YyL3VybD91PWh0dHAtM0FfX3d3dy5tZWh1bGJoYXR0Lm9yZ18mZD1Ed01HYVEmYz1hTG5TNlA4TmcwelNOaENGMDRPV0ltUV9IZTJMNjlzTldHM1BieGV5aWVFJnI9X2puQ1hvUTVfRTRUVUFycEM5MWVtZyZtPXJWcXB2cXNvakFVWFd2ZzZ0Y2d6UTN0MldEYTZSbTRyV20tQWNSNl9nZU0mcz1lRGpCZ2NsT0t1QVc2OWwyemh0RVUwenZUSGswUlo5eFJVQlBUbkRVME5rJmU9&_s=bWVodWwuYmhhdHRAb3J1LnNl&_c=5332fdfa&_r=b3J1LXNl" class="" style="color: purple;">www.mehulbhatt.org</a> | SE</font>: +</span></font><span class="" style="font-size: 11px;">46 19 303251 / <a href="mailto:mehul.bhatt@oru.se" class="">mehul.bhatt@oru.se</a></span></div><div class=""><br class=""></div></font></div></div><div class="" style="font-size: 16px;"><span class="" style="font-family: Calibri; font-size: 11px;"><b class="">CoDesign Lab</b> /</span><span class="" style="font-family: Calibri; font-size: 11px;"> </span><span class="" style="font-family: Calibri; font-size: 11px;"> Cognition. AI. Interaction. Design.</span></div><div class="" style="font-size: 16px; font-family: Calibri;"><span class="" style="font-size: 11px;"><a href="https://mailfilter.sunet.se/canit/urlproxy.php?_q=aHR0cHM6Ly91cmxkZWZlbnNlLnByb29mcG9pbnQuY29tL3YyL3VybD91PWh0dHAtM0FfX3d3dy5jb2Rlc2lnbi0yRGxhYi5vcmdfJmQ9RHdNR2FRJmM9YUxuUzZQOE5nMHpTTmhDRjA0T1dJbVFfSGUyTDY5c05XRzNQYnhleWllRSZyPV9qbkNYb1E1X0U0VFVBcnBDOTFlbWcmbT1yVnFwdnFzb2pBVVhXdmc2dGNnelEzdDJXRGE2Um00cldtLUFjUjZfZ2VNJnM9ckg5aVFFbGpFa01sZFExMmZtOTE3b0QyaGJybm5vV1lWRjZDVFNEeGZkRSZlPQ%3D%3D&_s=bWVodWwuYmhhdHRAb3J1LnNl&_c=8453b6f9&_r=b3J1LXNl" class="">www.codesign-lab.org</a> /</span><span class="" style="font-size: 11px;"> </span><a href="mailto:info@codesign-lab.org" class="" style="font-size: 11px;">info@codesign-lab.org</a></div><div class="" style="font-size: 16px; font-family: Calibri;"><span class="" style="font-size: 11px;"><br class=""></span></div><div class="" style="font-size: 16px; font-family: Calibri;"><span class="" style="font-size: 11px;">>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>></span><span class="" style="font-size: 11px;">>>>>>>>></span><span class="" style="font-size: 11px;">>>>></span></div></div><div class="" style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); font-style: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-size-adjust: auto; -webkit-text-stroke-width: 0px; text-decoration: none; font-size: 16px; font-family: Calibri;"><span class="" style="font-size: 11px;"><br class=""></span></div><br class="Apple-interchange-newline">
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