Geometric and Algebraic Structure in Robot Learning
Geometric and Algebraic Structure in Robot Learning
We invite submissions to the RSS 2024 Workshop on Geometric and Algebraic Structure in Robot Learning related (but not limited) to the following topics:
Robot learning designs that leverage geometric and algebraic structures.
Exploring the intersection of geometric and algebraic structures in robot learning within the theoretical framework of equivariant deep learning and group theory.
Learning symmetry-preserving or compositionality-preserving features.
Applications in robotics that benefit from geometric and algebraic structures.
Limitation of geometric and algebraic structure.
Any other topics that are related to the general audience and topics of the workshop.
Submission Portal: OpenReview (https://openreview.net/group?id=roboticsfoundation.org/RSS/2024/Workshop/GAS)
Author Guidelines:
The review process is single-blind. The authors do not have to completely anonymize the submissions.
We recommend the RSS template (Latex and Word) and also accept other templates, such as NeurIPS, CoRL, ICLR, ICRA ones.
Submitted papers can be 2-4 pages (extended abstract) or 4-8 pages (long papers). A submission may include unlimited pages for references and appendices, as well as supplementary material (including videos or links to external websites and other sources).
The workshop is non-archival and thus allows dual submission. We welcome ongoing work, published papers or in-submission papers to other conferences or journals.
Presentation: All accepted papers will be given (in-person) poster presentations at the workshop. We currently do not have remote option but we will try to accommodate requests.
Submission Deadline: June 10th, 2024 AOE (Original = May 31st, 2024 AOE)
Author Notifications: June 24th, 2024
Workshop Event: July 19th, 2024