The focus of the MRS conference is on all aspects of multi-robot and multi-agent systems. We encourage high-quality papers from a broad range of topics in this area, ranging from design and analysis of algorithms to systems. Papers should contribute novel results that clearly advance the state-of-the-art, and should include analytical and/or experimental evaluation appropriate to the work. We would like to see the best of multi-robot and multi-agent research represented at MRS 2017.
The fields of interest include the following general fields, but are not limited to:
- Modeling and Control of MRS/MAS
- Optimal Control and Optimization Methods for MRS/MAS
- Bio-Inspired MRS and Swarm Intelligence/Robotics
- Distributed Perception and Estimation in MRS/MAS
- Planning and Decision Making for MRS/MAS
- Physical Interaction in/with MRS/MAS
- Cooperative/Collective Learning in MRS/MAS
- AI of Large Scale Systems
- Applications of MRS
- Technological and Methodological Issues
- MRS for Cooperative Manipulation
- Micro/Nano Scale MRS
- Operating Systems and Cloud Technology for MRS
- Communication in MRS/MAS
- Performance Evaluation and Benchmarking in MRS/MAS
- Human-robot and Human-agent interaction
- Game theoretic approaches for MAS/MRS
- Teamwork, team formation, teamwork analysis
Papers should be up to 6 pages in length, NOT including references. Formatting and submission instructions are available on the submissions page. We will also accept video submissions as supplementary uploads to support contributed papers (maximum 10 MB).
Accepted papers will be included in the conference proceedings available on the IEEE Xplore digital library.
24 June 2017
27 May 2017: Full paper submission (US Pacific Standard Time)
9 September 2017: Notification to authors
4-5 December 2017: The inaugural MRS conference, University of Southern California (Los Angeles, USA)
Special Journal Issue
Top-quality papers will be invited for submission, in extended form, to a journal special issue after the conference.