About

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 this conference is to bring those researchers together with a high-quality symposium to highlight the very best in the field. MRS is an initiative of the IEEE RAS Technical Committee on Multi-Robot Systems. Previous iterations include MRS 2021, and MRS 2023.

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:

1. Modelling and Control of MRS/MAS
2. Optimal Control and Optimisation Methods for MRS/MAS
3. Motion and Path Planning for MRS
4. Bio-Inspired MRS and Swarm Intelligence/Robotics
5. Distributed Perception and Estimation in MRS/MAS
6. Planning and Decision Making for MRS/MAS
7. Physical Interaction in/with MRS/MAS
8. Cooperative/Collective Learning in MRS/MAS
9. AI of Large-Scale Systems
10. Applications of MRS
11. Technological and Methodological Issues
12. MRS for Cooperative Manipulation
13. Micro/Nano Scale MRS
14. Operating Systems and Cloud Technology for MRS
15. Communication in MRS/MAS
16. Performance Evaluation and Benchmarking in MRS/MAS
17. Human-robot and Human-agent interaction
18. Game theoretic approaches for MAS/MRS
19. Teamwork, team formation, teamwork analysis