Call for Papers

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(Hybrid) 2nd Workshop on Scaling Robot Learning

Robotics: Science and Systems (RSS)

June 27th, 2022

Hybrid in both New York, USA and online

Website: https://sites.google.com/view/rss22-srl/

Overview

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A long-standing goal in robotics is to build generalist robots: a single agent capable of performing a wide variety of everyday tasks based on user instructions. Despite the impressive progress of learning-based methods in robotics, we are far away from achieving robots that can scale to many tasks and to more intuitive task specifications such as videos or natural language. 

In this workshop, we are specifically interested in the challenges connected to “scaling” machine learning towards general-purpose robots. Beyond scaling robot systems, this second edition of the workshop aims to focus on how academia can contribute. This includes topics on algorithmic advancements such as self-supervised learning, lifelong learning, multi-task learning, learning structure and priors from large-scale unlabeled multimodal data, learning from videos, and learning in simulation. The goal of this workshop is to bring together experts from different communities, such as robotics, computer vision, natural language processing or reinforcement learning, to discuss challenges, synergies and explore new directions towards scaling robot learning. We also encourage contributions that open-source code, pre-trained models, and datasets.

Topics

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The focus topics for our workshop include, but are not restricted to:

• Learning from offline data (pre-trained models, YouTube, etc.)

• Sample efficiency (structure, symmetry, modularity, primitives, etc.)

• Multi-task learning

• Language conditioned learning

• Learning from videos

• Self-supervised learning

• Life-long learning

• Multi-agent systems

Submission Instructions

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We encourage participants to submit their research in the form of a single PDF. Submissions may be up to 4 pages in length, including figures, excluding references and any supplementary material. Please use the RSS conference template. Accepted papers will be presented in a poster session and selected papers as spotlight talks. All submitted contributions will go through a single blind review process. The contributed papers will be made available on the website of the workshop. However, this does not constitute an archival publication and no formal workshop proceedings will be made available, meaning contributors are free to publish their work in archival journals or conference.

Flexiv Robotics is sponsoring a Best Paper Award of $1,000 to be shared by all authors of the awarded paper.

Submission Website: https://cmt3.research.microsoft.com/RSSWSRL2022

LaTeX Template: https://roboticsconference.org/docs/paper-template-latex.tar.gz

Important Dates

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– Submission deadline: May 25, 2022 AoE

– Notification of acceptance: June 7, 2022

– Camera ready submission: June 19, 2022 AoE

– Workshop date: June 27, 2022

Invited Speakers

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– Marc Toussaint (University Berlin)

– Aleksandra Faust (Google Brain)

– Franziska Meier (Facebook AI Research)

– Georgia Chalvatzaki (TU Darmstadt)

– Kristen Graumann (TU Austin)

– Cewu Lu (SJTU)

– Oliver Kroemer (CMU)

– George Konidaris (Brown University)

Organizing Committee

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– Jeannette Bohg, Stanford University

– Wolfram Burgard, TU Nuremberg

– Dieter Fox, University of Washington & NVIDIA

– Serena Ivaldi, INRIA

– Danica Kragic, KTH

– Oier Mees, University of Freiburg

– Stephanie Tellex, Brown University

– Andy Zeng, Google Brain

We look forward to receiving your submissions!

For further information please contact us at <rss22-srl(at)googlegroups.com>.

Best,

Jeannette, Wolfram, Dieter, Serena, Danica, Oier, Stephanie, Andy