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