[Meetings] [Call for Papers] RSS 2024 Workshop on Semantic Reasoning and Goal Understanding in Robotics (SemRob)

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Jonathan Francis

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May 28, 2024, 4:07:46 PMMay 28
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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



Mailing List


Feel free to join our mailing list, to stay updated on all workshop information: https://mailchi.mp/07f8ab4c1c65/semrob-workshop



Jonathan Francis

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May 28, 2024, 4:07:51 PMMay 28
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