[Meetings] [CfP] RSS SemRob 2025 - Workshop on Semantic Reasoning and Goal Understanding in Robotics
Jonathan Francis
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Call for Papers: 2nd RSS Workshop on Semantic Reasoning and Goal Understanding in Robotics (RSS SemRob 2025)
Workshop website: https://semrob.github.io/
Contact email: semrob....@gmail.com
Paper Submission Deadline: 1 June 2025, 23:59 AOE
Workshop Date: 21 June 2025
Workshop Location: Los Angeles, California, USA (RSS 2025)
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Hello! We are delighted to invite you to submit your papers to the 2nd Workshop on Semantic Reasoning and Goal Understanding in Robotics (SemRob), which will be held at the Robotics Science and Systems conference (RSS 2025), in Los Angeles, on 21 June 2025.
This workshop intends to sponsor discussion on methodologies 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, meta-cognitive reasoning structures (e.g., agentic frameworks), robot skill primitives and their composition, 3D world representations and digital twins, 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 areas to contribute to compelling discussions.
Topics of Interest
In addition to the RSS subject areas, we especially invite paper submissions on various topics, including (but not limited to):
Learning semantically-rich and generalizable robot state representations
Goal understanding through few-shot demonstrations
Novel abstractions, representations, and mechanisms for few-shot learning and open-vocabulary generalization
Retrieval-augmentation mechanisms used in learning and task-execution
Leveraging foundation models for robotics tasks; efforts to create new robot foundation models
Agentic frameworks for failure reasoning, self-guidance, test-time adaptation
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.
World models and digital twins used for reasoning and optimization
Important Dates
Paper submission deadline: 1 June 2025, 23:59 AOE
Paper review deadline: 7 June 2025, 23:59 AOE
Author notifications: 10 June 2025
Camera-ready submission deadline: 15 June 2025, 23:59 AOE
Please share this announcement with your audience! We look forward to your contributions.
Best regards,
Chairs, RSS SemRob 2025