<html><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><div class="">Call for Papers:</div><div class=""><br class=""></div><div class="">RSS 2021 Workshop on Declarative and Neurosymbolic Representations in</div><div class="">Robot Learning and Control</div><div class="">--------------------------------------------------</div><div class="">A Full-day Virtual Event with RSS 2021</div><div class=""><br class=""></div><div class=""><a href="https://dnr-rob.github.io/" class="">https://dnr-rob.github.io/</a></div><div class=""><br class=""></div><div class="">Important dates (anywhere on earth):</div><div class=""><br class=""></div><div class="">Paper Submission Deadline: June 27th (updated), 2021</div><div class="">Acceptance Notification: June 30th, 2021</div><div class="">Workshop date: July 15th (final), 2021</div><div class=""><br class=""></div><div class=""><br class=""></div><div class="">This is a joint workshop with two themes that share common interests</div><div class="">and motivations.</div><div class=""><br class=""></div><div class="">Declarative knowledge in learning and control of robot behaviors: For</div><div class="">the purposes of explainability, abstraction, efficiency, or</div><div class="">robustness, declarative knowledge is being incorporated into the</div><div class="">decision-making process. We aim to explore novel ways to leverage</div><div class="">complementary features of the different forms of decision making in</div><div class="">order to inform the future research of deliberative systems relying on</div><div class="">declarative knowledge that can be learned from, and shared with,</div><div class="">humans.</div><div class=""><br class=""></div><div class="">Neurosymbolic robotics for learning symbolic representations from</div><div class="">sub-symbolic representations: Neurosymbolic AI has emerged to</div><div class="">integrate successful ideas in deep learning and classical symbolic</div><div class="">reasoning in a single framework. Such a framework will have the</div><div class="">desirable perception abilities of deep networks for bottom-up</div><div class="">computation whilst allowing the system to make symbolic reasoning for</div><div class="">top-down computation.</div><div class=""><br class=""></div><div class=""><br class=""></div><div class="">Invited Speakers:</div><div class=""><br class=""></div><div class="">Masataro Asai, IBM Research</div><div class="">Anthony Cohn, U of Leeds</div><div class="">Katerina Fragkiadaki, CMU</div><div class="">Nick Hawes, U of Oxford</div><div class="">Leslie Kaelbling, MIT</div><div class="">George Konidaris, Brown U</div><div class="">Ben Kuipers, U of Michigan</div><div class="">Luís C. Lamb, UFRGS</div><div class="">Cynthia Matuszek, UMBC</div><div class="">Sheila McIlraith, U of Toronto</div><div class=""><br class=""></div><div class=""><br class=""></div><div class="">Submissions:</div><div class=""><br class=""></div><div class="">We accept regular papers (up to 8 pages of unpublished work) and</div><div class="">extended abstracts (up to 4 pages of novel work or from a recently</div><div class="">published paper) in standard RSS format, excluding unlimited pages for</div><div class="">references. The review process will be single-blind. 10 minutes will</div><div class="">be allocated for each regular paper, and 2 minutes for each extended</div><div class="">abstract. There will also be a poster presentation session through</div><div class="">gather.town for discussions. Papers will be submitted through</div><div class="">EasyChair (<a href="https://easychair.org/cfp/DNR-ROB-2021" class="">https://easychair.org/cfp/DNR-ROB-2021</a>).</div><div class=""><br class=""></div><div class=""><br class=""></div><div class="">Organizing Committee:</div><div class=""><br class=""></div><div class="">Alper Ahmetoglu (contact person), Bogazici U, <a href="mailto:ahmetoglu.alper@gmail.com" class="">ahmetoglu.alper@gmail.com</a></div><div class="">Shiqi Zhang (contact person), SUNY Binghamton, <a href="mailto:zhangs@binghamton.edu" class="">zhangs@binghamton.edu</a></div><div class=""><br class=""></div><div class="">Roderic Grupen, UMass Amherst</div><div class="">Yuqian Jiang, UT Austin</div><div class="">Matteo Leonetti, U of Leeds</div><div class="">Tiffany Liu, UMass Amherst</div><div class="">Erhan Oztop, Ozyegin U</div><div class="">Justus Piater, U of Innsbruck</div><div class="">Benjamin Rosman, U of Witwatersrand</div><div class="">Tadahiro Taniguchi, Ritsumeikan U</div><div class="">Emre Ugur, Bogazici U</div></body></html>