[Meetings] [Call for Papers] RSS 2024 Workshop on Semantic Reasoning and Goal Understanding in Robotics (SemRob)
Jonathan Francis
(Apologies for cross-posting; please distribute among interested parties)
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Call for Papers: RSS 2024 Workshop on Semantic Reasoning and Goal Understanding in Robotics (SemRob)
Workshop website: https://semrob.github.io/
Contact email: semrob....@gmail.com
Paper Submission Deadline: 3 June 2024, 23:59 AOE
Workshop Date: 19 July 2024
Workshop Location: Delft, Netherlands (RSS 2024)
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We are delighted to invite you to submit your papers to the 1st Workshop on Semantic Reasoning and Goal Understanding in Robotics (SemRob), which will be held at the 20th Robotics Science and Systems conference (RSS 2024), in Delft, Netherlands, on 19 July 2024.
This workshop intends to sponsor discussion of new hybrid methodologies—those that combine representations from robotics foundation models with modeling mechanisms that may prove useful for semantic reasoning and abstract goal understanding, including neural memory mechanisms, cognitive architectures, neuro-symbolic representations (e.g., knowledge/scene graph embeddings), meta-cognitive reasoning structures (e.g., chain-of-thought reasoning), robot skill primitives and their composition, 3D world representations (e.g., NeRFs), etc.
We aim to bring together robotics researchers, engineers, and practitioners from different communities to enable avenues for interdisciplinary research on methods that could facilitate the deployment of semantics-aware and generalizable embodied agents in unstructured and dynamic real world environments. We draw our organizers, speakers, panelists, and TPC from the following (sub-)communities: Robot Learning, Embodied AI, Planning + Controls, Cognitive Robotics, Neuro-Symbolism, Natural Language Processing, Computer Vision, and Multimodal Machine Learning. We likewise intend to attract an audience from these diverse sub-communities to contribute to compelling discussions.
Topics of Interest
In addition to the RSS 2024 subject areas, we especially invite paper submissions on various topics, including (but not limited to):
Learning semantically-rich and generalizable robot state representations
Learning general goal representations, e.g., in instruction-following
Reasoning mechanisms for generalization in open-vocabulary contexts
Leveraging foundation models for robotics tasks; efforts to create robotics-specific foundation models
Foundation model agent frameworks, e.g., for chain-of-thought reasoning, self-guidance, reasoning about failures, policy-refinement, etc.
Multimodal tokens and prompt mechanisms with foundational models for robotics tasks
Grounding foundation models with other modalities (e.g., haptics, audio, IMU signals, joint torques, etc.)
Combining foundation models with AI reasoning structures (e.g., neuro-symbolic structures, memory, cognitive architectures, etc.), for robotics tasks
Data-efficient concept learning for robotics, e.g., few-shot demonstrations, interactive perception, co-simulation, etc.
Submission Guidelines
RSS SemRob 2024 suggests a 4+N or 8+N paper length format — i.e., 4 or 8 pages of main content with unlimited additional pages for references, appendices, etc. However, like RSS 2024, we impose no strict page length requirements on submissions; we trust that authors will recognize that respecting reviewers’ time is helpful to the evaluation of their work.
Submissions are handled through CMT: https://cmt3.research.microsoft.com/SEMROB2024
We will use the official LaTeX or Word templates, provided by RSS 2024.
Important Dates
Paper submission deadline: 3 June 2024, 23:59 AOE
Paper review deadline: 17 June 2024, 23:59 AOE
Author notifications: 24 June 2024
Camera-ready submission deadline: 1 July 2024, 23:59 AOE
Best Paper Award: One best paper will be selected from the submissions and awarded; the winner will be announced at the workshop!
Invited Speakers
Niko Sünderhauf; Queensland University of Technology
Coline Devin; Google DeepMind
Animesh Garg; University of Toronto + NVIDIA
Alessandra Sciutti; Istituto Italiano di Tecnologia
Joyce Chai; University of Michigan
Jesse Thomason; University of Southern California
Dongheui Lee; Technische Universität Wien
Yonatan Bisk; Carnegie Mellon University + Meta AI
Organizing Committee
Jonathan Francis; Bosch Center for Artificial Intelligence + Carnegie Mellon University
Andrew Melnik; University of Bielefeld
Krishan Rana; Queensland University of Technology
Saumya Saxena; Carnegie Mellon University
Hyemin Ahn; Ulsan National Institute of Science and Technology
Qiang Li; Shenzhen Technology University
Jean Oh; Carnegie Mellon University
Contact Addresses
Re: general inquiries: semrob.work...@gmail.com
Re: paper submissions: semrob.work...@gmail.com
Mailing List
Feel free to join our mailing list, to stay updated on all workshop information: https://mailchi.mp/07f8ab4c1c65/semrob-workshop
Jonathan Francis
Jonathan Francis
Jonathan Francis
Ludovico Montalcini
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