Heterogeneous multi-robot teams have the potential to perform complex tasks that require considerable coordination in unstructured environments. To fully realize this potential, however, we need to address an array of significant challenges in enabling the coordinated behavior of inherently different kinds of agents. Particularly interesting are the questions what, who, and when of multi-robot coordination. The answers to “what needs to be done?” provide insights into the nature of complex multi-task missions and how to accomplish them. The question of who, whether in team composition or in task allocation, is particularly impactful when dealing with teams of heterogeneous agents. Finally, the answer to “when to perform the tasks?” deals with realizing a conflict-free plan for the agents to perform a number of tasks, both sequentially and simultaneously.
The aim of this workshop is to bring together perspectives on how to tackle these three fundamental questions of multi-robot coordination from different communities within robotics. We wish to have the perspectives of renowned expert researchers in the field, and offer young researchers the opportunity to share their new ideas and preliminary results of ongoing research. We hope this workshop will help the community discover exciting collaborations and effective directions of future research.
Topics of Interest
Task planning and scheduling for multi-robot systems
Modeling multi-agent teams
Abstraction and analysis of heterogeneity
Verifiable coordination and task performance
Resilience and adaptive behavior
Learning for coordination
Invited talks, representing different perspectives on multi-robot coordination
Poster sessions (for all accepted contributions)
Spotlight paper presentations (for a subset of the accepted contributions)
A moderated panel consisting of the invited speakers and senior organizers
Call for Contributions
In order to increase the participation of young and senior researchers in the topic, along with the quality of the contributions, we invite submissions of the following types:
Traditional workshop submissions presenting preliminary results of ongoing research.
Submissions linked to already published papers coming from:
Recent journal papers, which have not had the chance to be discussed in a conference, (imitating the strategy of RA-L and TR-O).
Recent conference papers, which were presented at machine learning conferences (e.g., NIPS, ICLR, ICML).
Note that the authors must explicitly indicate the type of their submissions.
We encourage participants to submit their research in the form of a paper (6 pages maximum including references) in the IEEE conference proceedings format. Contributors are encouraged to submit their manuscripts with videos (max. duration: 3 minutes) illustrating their work.
The submitted contributions will go through a single blind review process. All the accepted contributions will be presented as posters during the interactive sessions. A subset of the accepted papers/abstracts will be presented during spotlight presentations, before the interactive sessions.
All submissions should be sent in PDF format to email@example.com
Submission deadline: April 18, 2020
Notification of acceptance: April 25, 2020
Workshop date: July 12, 2020