posted by user: tkorthals || 3170 views || tracked by 4 users: [display]

MRS 2017 : INTERNATIONAL SYMPOSIUM ON MULTI-ROBOT AND MULTI-AGENT SYSTEMS

FacebookTwitterLinkedInGoogle

Link: https://mrs2017.org/
 
When Dec 4, 2017 - Dec 5, 2017
Where USA - Los Angeles
Submission Deadline May 27, 2017
Notification Due Sep 2, 2017
Categories    multi robot systems   modeling and control   swarm intelligence/robotics   distributed perception
 

Call For Papers

MRS is a new initiative of the IEEE RAS Technical Committee on Multi-Robot Systems. The goal of the conference is to bring together researchers who are in the field of multi-robot systems (MRS) both directly and indirectly, to cross-fertilize ideas. Typically MRS research is spread across large conferences, and this makes it difficult for MRS researchers 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 best in the field. We would like to see the top advances in multi-robot and multi-agent research represented at MRS 2017.

Related Resources

ICAART 2025   17th International Conference on Agents and Artificial Intelligence
AAMAS - 2025   The 24th International Conference on Autonomous Agents and Multiagent Systems
KES-IDT 2025   17th International KES Conference on Intelligent Decision Technologies
AMSTA 25 2025   19th International Conference on Agents and Multi-Agent Systems: Technology and Applications (AMSTA-25)
LAMAS&SR 2024   International Workshop on Logical Aspects in Multi-Agent Systems and Strategic Reasoning
MALTA 2025   AAAI-2025 Workshop: Multi-Agent Reinforcement Learning for Transportation Autonomy
WMAC 2025   AAAI 2025 Workshop on Advancing LLM-Based Multi-Agent Collaboration
MAS@ApplSci 2025   Emerging Techniques in Engineering Intelligent Agents and Multi-Agent Systems
PRIMA 2024   The 25th International Conference on Principles and Practice of Multi-Agent Systems
AREA 2024   4th Workshop on Agents and Robots for reliable Engineered Autonomy