IROS 2023 Workshop: Advances in Multi-Agent Learning – Coordination, Perception, and Control

We are pleased to announce the full-day workshop “Advances in Multi-Agent Learning – Coordination, Perception, and Control” will take place as part of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023) on October 1st in Detroit, USA. We invite the submission of short papers (maximum 4 pages, plus “n” pages for references) describing current work and early results on the workshop’s themes, to be presented during an interactive poster session. We will also have short oral presentations for spotlighted talks.

We welcome submissions on all topics related to multi-agent learning, including but not limited to: -Perception across robot teams -Multi-robot coordination and communication -Learning in multi-agent robot contexts -Task allocation -Resource management -Planning -Control -Game theory -Algorithmic approaches for multi-task expertise and distillation

Please submit your abstracts in 2 column IEEE format to our CMT website.

Short papers will be peer-reviewed in single-blind fashion. If you are interested and qualified to act as a reviewer, please send an email to Drew Hanover with the subject line “Reviewer Request – IROS 2023 Workshop”.

Accepted papers will be presented in-person during an interactive poster session. At least one author will need to be present at the venue for each poster. Accepted papers will be made available on the workshop website after IROS.