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<div>CALL FOR PAPERS</div>
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<div>The 4th International Symposium on Multi-Robot and Multi-Agent Systems (MRS 2023)</div>
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<div>Dec. 4-5, 2023 - Boston University, Boston, MA, USA</div>
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<div>IMPORTANT DATES:</div>
<div>Paper Submission Deadline: June 26, 2023</div>
<div>Notification of Acceptance: September 30, 2023</div>
<div>Conference Dates: December 4-5, 2023</div>
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<div>www.mrs-2023.org</div>
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<div>~~~~~~~~~~~~~~~~~~~~~~~~~~~</div>
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<div>MRS 2023 will be held on December 4-5 at Boston University.</div>
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<div>The goal of the conference is to bring together researchers who are in the field of multi-robot systems (MRS) and multi-agent systems (MAS). Typically MRS/MAS research is spread across large conferences, and this makes it difficult for us to keep up to
date on new findings and meet others in the area. The intent of the conference is to bring those researchers together with a high-quality symposium to highlight the very best in the field.</div>
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<div>MRS is supported by the IEEE RAS Technical Committee on Multi-Robot Systems. Previous iterations include MRS 2017 (Los Angeles, CA, USA), MRS 2019 (New Brunswick. NJ, USA) and MRS 2021 (Cambridge, UK).</div>
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<div>The conference scope will include any research related to multi-robot and multi-agent systems, an inherently diverse community. Several competences are needed in this field, ranging from control systems to mechanical design, coordination, cooperation,
estimation, perception and interaction. The fields of interest include (but are not limited to) the following general fields, with explicit application to MRS/MAS:</div>
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<div>- Modeling and Control</div>
<div>- Discrete Planning, Routing, Multi-Robot Path Finding, Task Assignment</div>
<div>- Distributed Optimization and Distributed Algorithms</div>
<div>- Nonlinear Control, Lyapunov Methods, Optimal Control</div>
<div>- Continuous Planning, Trajectory Optimization, Informative Planning</div>
<div>- Deep Learning, Reinforcement Learning, General Learning, General AI</div>
<div>- Distributed Perception, Vision, Mapping, SLAM</div>
<div>- Estimation, Filtering, Bayesian Methods, Target Tracking</div>
<div>- Robustness, Formal Methods, Network Resilience</div>
<div>- Human-Multi-Robot Interaction</div>
<div>- Micro/Nano Scale Systems</div>
<div>- Bio-Inspired Systems and Swarm Intelligence</div>
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<div>COMMITTEE</div>
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<div>General Chairs</div>
<div>Chris Amato, Northeastern University, USA</div>
<div>Nora Ayanian, Brown University, USA</div>
<div>Alyssa Pierson, Boston University, USA</div>
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<div>Program Chair</div>
<div>Lorenzo Sabattini, University of Modena and Reggio Emilia, Italy</div>
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<div>Please stay tuned for more updates in the coming weeks posted to our website (www.mrs-2023.org). Interested in getting involved? Reach out to the Program Chairs. </div>
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<div style="orphans: 2; widows: 2;">Christopher Amato</div>
<div style="orphans: 2; widows: 2;">Associate Professor</div>
<div style="orphans: 2; widows: 2;">Khoury College of Computer Sciences</div>
<div style="orphans: 2; widows: 2;">Northeastern University</div>
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<div style="orphans: 2; widows: 2;">http://www.ccs.neu.edu/home/camato/</div>
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