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 the following general fields, but are not limited to: – Modeling and Control – Discrete Planning, Routing, Multi-Robot Path Finding, Task Assignment – Distributed Optimization and Distributed Algorithms – Nonlinear Control, Lyapunov Methods, Optimal Control – Continuous Planning, Trajectory Optimization, Informative Planning – Deep Learning, Reinforcement Learning, General Learning, General AI – Distributed Perception, Vision, Mapping, SLAM – Estimation, Filtering, Bayesian Methods, Target Tracking – Robustness, Formal Methods, Network Resilience – Human Multi-Robot Interaction – Micro/Nano Scale Systems – Bio-Inspired Systems and Swarm Intelligence

IEEE International Symposium on Multi-Robot and Multi-Agent Systems (MRS) is technically sponsored by IEEE. The proceedings  of this event are likely to be listed in  prestigious databases such as Scopus, Web of Science (WoS), Ei Compendex, DBLP, Google Scholar, and many others.