[CfP] (Due Today AoE) RSS Workshop on Task Specification for General-Purpose Intelligent Robots

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Yiqing Xu

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Jun 15, 2024, 9:49:46 AMJun 15
to ICAPS Conference

RSS Workshop on Task Specification for General-Purpose Intelligent Robots


Abstract:

In our hybrid RSS workshop on Task Specification for General-Purpose Intelligent Robots (https://sites.google.com/view/rss-taskspec), we would like to develop a shared community-level understanding of task specification in various formalisms and sensor modalities. These topics have been studied with different emphases in reinforcement learning, human-robot interaction, natural language processing, formal methods, foundation models, representation learning, and cognitive science. We hope to bring together these sub-communities, assimilate recent advances from diverse perspectives, and lead in-depth discussions toward developing a shared vision of the key open problems in the area.


Important Dates:

  • Submission: Extended to June 14th, 2024 23:59 AoE

  • Notification: June 21st, 2024

  • Workshop: July 19th, 2024; in Delft, Netherlands, and Online


Submission:

  • Submission Portal: OpenReview (https://openreview.net/group?id=roboticsfoundation.org/RSS/2024/Workshop/TaskSpec).

  • Length: 2-4 page extended abstract or 4-8 page paper. Like the RSS main conference, the page limits are merely a suggestion.

  • Format: submissions can use any template and must be anonymized.

  • Reviews: the review process will be double-blind.

  • Poster: all accepted papers will be invited for a poster presentation.

  • Dual Submission: published work or papers in submission at other conferences (e.g., CoRL) are welcomed.

  • Non-archival: all submissions will be made available on the workshop website as non-archival reports, making submissions to future conferences and journals possible. 

  • The full Call for Papers: https://sites.google.com/view/rss-taskspec/call-for-papers


Areas of Interest: include but are not limited to:

  • Robot learning

  • Reinforcement learning

  • Natural language processing

  • Formal methods for robots

  • Human-robot interaction

  • Foundation models

  • Developmental robotics

  • Representation learning

  • Cognitive science

  • RSS main conference subject areas


Speakers:

  • Hadas Kress-Gazit: Cornell University

  • Peter Stone: The University of Texas at Austin

  • Jesse Thomason: University of Southern California

  • David Abel: Google DeepMind

  • Cédric Colas: Massachusetts Institute of Technology


Organizing Committee:

  • Jason Liu: Brown University; contact person (xiny...@brown.edu)

  • Jason Ma: University of Pennsylvania

  • Yiqing Xu: National University of Singapore, Singapore

  • Andi Peng: Massachusetts Institute of Technology

  • Ankit Shah: Brown University

  • Andreea Bobu: University of California Berkeley

  • Anca Dragan: University of California Berkeley

  • Julie Shah: Massachusetts Institute of Technology

  • Dinesh Jayaraman: University of Pennsylvania

  • Stefanie Tellex: Brown University


Call for Reviewers
If you would like to be a reviewer, please complete this short survey (https://forms.gle/CUUv9iERiqvFGHocA). We appreciate your support.
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