[Cfp] Call for Papers to “Unsolved Problems in Social Robot Navigation” at RSS2024

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Allan Wang

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May 22, 2024, 11:52:33 AMMay 22
to Machine Learning News
Dear fellow researchers,

We invite interested researchers to introduce their preliminary or ongoing projects related to social navigation. Our workshop is a great opportunity to advertise your research. We have also made arrangements so that you can present your work online.

Workshop Website:

https://unsolvedsocialnav.org/


IMPORTANT DATES:

Paper Submission Deadline: Jun 7th, 2024 

Acceptance Notification: Jun 24th, 2024

Camera-ready paper: Jul 12th, 2024

Workshop Date and Paper Presentation: Jul 19th, 2024


LOCATION:

Delft, Netherlands


ABOUT:

We accept a broad range of topics related to social navigation. Example topics include but are not limited to:

Social Navigation Methods

  • How do we overcome the freezing robot problem?

  • How much does capturing human body pose, gestures, head orientation or eye gaze benefit social navigation?

  • How should a robot behave in order for it to be accepted as social by humans?

  • How does a robot communicate its navigation intent to humans?

  • How much can data-based approaches capture or imitate human behavior in social navigation?

  • How do we define social norms in terms of costs or rewards?

  • How to accommodate diverse human factors and environmental contexts in social navigation?

Social Navigation Evaluation

  • What metrics are suitable to measure efficiency, safety, and socialness in social navigation?

  • How do we trade off efficiency and safety (socialness) in evaluating social navigation?

  • How effective is it to evaluate social navigation models on datasets?

  • What behavior model is suitable to model humans in social navigation simulation?

  • How much realism do we need in social navigation simulation?

  • How do we categorize and evaluate context in social navigation?

  • How do we mitigate the novelty effect in real-world social navigation experiments?


SUBMISSION:

We invite short contributions on the topics mentioned above. The papers should be no longer than 4 pages excluding citations and should be in standard RSS format. Submissions should not be anonymized. Papers should be submitted in PDF format by Jun 7th, 2024. We encourage original submissions and welcome works currently under review. We especially encourage contributions from authors with diverse backgrounds, such as those with minority or underrepresented backgrounds or junior researchers. To help us with logistics arrangements, please indicate in the submission email if you will attend our workshop in person or remotely.

For this workshop, we use the Conference Management Toolkit to manage submissions.

Submission link: https://cmt3.research.microsoft.com/UnsolvedSocNav2024


PUBLICATION & ATTENDANCE:

All accepted papers will be given the opportunity to be presented in the workshop as posters. Authors of select papers will be offered spotlight short presentations. The accepted papers will be posted on the workshop’s website in advance so that interested participants will have a chance to view the papers first before coming to the workshop. These non-archival papers and their corresponding posters will remain available on this website after the workshop. The authors will retain copyrights of their papers.


Invited Speakers:

Noé Pérez-Higueras, Pablo de Olavide University, Spain

Jana Tumova, KTH Royal Institute of Technology

Dražen Brščić, Kyoto University

Jitendra Malik, University of California at Berkeley

Henny Admoni, Carnegie Mellon University


Contact:

Jorge de Heuvel dehe...@cs.uni-bonn.de

Phani Teja Singamaneni ptsin...@laas.fr

Nathan Tsoi natha...@yale.edu

Allan Wang  allan...@jst.go.jp


Organizers:

Rachid Alami, LAAS-CNRS

Anthony Francis, Logical Robotics

Jorge de Heuvel, University of Bonn

Takayuki Kanda, Kyoto University

Luis J. Manso, Aston University

Claudia Perez D’Arpino, NVIDIA

Satake Satoru, ATR 

Phani Teja Singamaneni, LAAS-CNRS

Aaron Steinfeld, Carnegie Mellon University

Nathan Tsoi, Yale University

Marynel Vázquez, Yale University

Allan Wang, Miraikan



Thank you,

UnsolvedSocNav Organizers


Allan Wang

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May 31, 2024, 12:39:25 PMMay 31
to Machine Learning News

Rachid Alami, LAAS-CNRS

Henny Admoni, Carnegie Mellon University


Contact:

Jorge de Heuvel dehe...@cs.uni-bonn.de

Phani Teja Singamaneni ptsin...@laas.fr

Nathan Tsoi natha...@yale.edu

Allan Wang  allan...@jst.go.jp


Organizers:

Anthony Francis, Logical Robotics

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