Dear roboticists and AI researchers,
DEADLINE EXTENDED
The initial submission deadline to the International Symposium on Multi-Robot & Multi-Agent Systems 2023 has been extended to July 7, 2023. Please see the website for more details: https://www.mrs-2023.org, or keep reading for the call for papers. For questions regarding submissions, please reach out to the Program Chair (Lorenzo Sabattini, l***************i@unimore.it). General inquiries can be submitted to: m*****3@bu.edu.
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The 4th International Symposium on Multi-Robot and Multi-Agent Systems (IEEE MRS 2023)
Dec. 4-5, 2023, - Boston University, Boston, MA, USA
IMPORTANT DATES:
Paper Submission Deadline: July 7, 2023 **extended**
Notification of Acceptance: September 30, 2023
Conference Dates: December 4-5, 2023
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IEEE MRS 2023 will be held on December 4-5 at Boston University.
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.
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). The conference proceedings will be submitted to the IEEE Xplore digital library.
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:
- 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 and Swarm Intelligence
COMMITTEE
General Chairs
Chris Amato, Northeastern University, USA
Nora Ayanian, Brown University, USA
Alyssa Pierson, Boston University, USA
Program Chair
Lorenzo Sabattini, University of Modena and Reggio Emilia, Italy
Finance Chair
Roberto Tron, Boston University, USA
Publicity and Social Media Chair
Rohan Chandra, University of Texas at Austin, USA