[Meetings] Call for Papers for the RAP4Robots at ICRA 2023

[Georgia Chalvatzaki]

Dear all,

**apologies for cross-posting**

We cordially invite you to submit your contributions to our Workshop on effective Representations, Abstractions, and Priors for Robot Learning (RAP4Robots), that will take place on Monday the 29th of May at ICRA 2023, ExCel London.

This workshop aims to facilitate discussion about key issues related to scalable and generalizable robot learning, with a focus on three main axes: state/action representations, abstractions, and behavior priors. While robot learning holds the promise of endowing robots with complex skills, in practice, the scalability and generalization of skills are still an open problem. One pressing issue is the type and quality of representations that we could learn, for e.g., when learning in simulation or when learning in a different domain. Moreover, the sample-efficient learning of modular skills is crucial for robotics, and in this regard, the use of priors, either classical or learned, can greatly benefit learning. This makes researchers think about the best way to induce prior knowledge into a learning system, but the representation of such priors should “fit” the follow-up tasks. Moreover, the decomposition of complex long-horizon tasks into a sequence of simpler ones is a well-known strategy in robot planning. However, the type and levels of abstractions needed are open questions, and their representation and connection to observations are still challenging.

We plan an exciting and interactive workshop program, with the participation of important researchers in the field of robotics and machine learning. Check out our speakers list!

Topics of interest:

·    Representation learning

·    Multisensory learning and fusion

·    Representation alignment for Human-Robot Interaction

·    Structured priors

·    Model-based RL and world models

·    Hierarchical learning and planning

·    Skill composition and decomposition

·    Transfer learning

We welcome recent contributions published in the last year or works in progress. Submission should adhere to the IEEE conference template. The contributed papers should have a page limit of 4 pages, excluding references and supplementary materials. Submitted papers will go through a single-blind review process, and accepted papers will get published online on the workshop website. 

All accepted papers will be presented in a poster session, with oral spotlight talks for selected papers. 

RAP4Robots will not have a formal workshop proceeding; this decision preserves the freedom for contributed papers to publish their work in archival journals or conferences.

We prepare an exciting best paper award in coordination with our Sponsor! TBA soon!

Submission website: https://cmt3.research.microsoft.com/RAP4Robots2023

IEEE conference template: https://www.ieee.org/conferences/publishing/templates.html

Overleaf template: https://www.overleaf.com/latex/templates/ieee-conference-template/grfzhhncsfqn

Submission deadline: 24 March 2023, 23:59 PT

Notification of Acceptance: 5 May 2023

On behalf of the organizing committee,

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Prof. Dr. Georgia Chalvatzaki
iROSA group, FB-Informatik,
TU Darmstadt 
https://irosalab.com