Robot[ic] Study Companion
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Records Members Curation policy About

About the Robot[ic] Study Companion community

The Robot[ic] Study Companion (RSC) is an open-source social-educational robot platform. The project explores how low-cost, privacy-preserving, and reproducible robotic companions can support university students' learning experiences.

This Zenodo community archives research-grade artefacts produced by the RSC team and its collaborators. We aim to make the platform's scholarly output, such as papers, datasets, code, theses, and supplementary materials, more discoverable, citable, and openly accessible in one place.

Curators

Submission policy

We accept research-grade artefacts directly supporting RSC research and development: peer-reviewed papers and preprints, datasets, code and software releases, theses, and supplementary materials tied to a clear publication or research trajectory. We do not host informal content such as slide decks, blog posts, working notes, or drafts without a defined research outcome.

Before you submit

Please ensure your deposit meets the following requirements. Submissions that do not meet them will be returned with feedback.

  1. No personal or identifying information. Remove names, email addresses, institutional IDs, IP addresses, device identifiers, and any free-text fields that could identify participants, raters, or third parties. Pseudonymise where identifiers are essential to the data structure.
  2. Ethical clearance documented. Where your work involves human participants, state the approving body and reference number in the record description.
  3. Licence specified. Choose an open licence appropriate to the artefact (CC-BY 4.0 is typical for papers and datasets; MIT, Apache-2.0, or GPL for code).
  4. Metadata complete. Include authors with ORCIDs where available, a clear title, a descriptive abstract, and relevant keywords.
  5. Reproducibility supported. For datasets and code, include a description or README document clearly and concisely describing structure, dependencies, and guidance for reproducing reported results.
  6. RSC linkage stated. Briefly note how the deposit relates to the RSC platform or research programme.

How to submit

Upload your record to Zenodo and, on the submission form, select "Robot[ic] Study Companion" from the Communities dropdown. Curators review submissions on a voluntary basis, typically within two weeks depending on availability.

Review outcomes

Submissions are accepted, returned for revision with specific feedback, or declined if out of scope. Curators may request redaction of identifying information as a condition of acceptance. Declined submissions may be resubmitted once the issues are addressed.

Citing the community

Each record in this community has its own DOI and should be cited individually. If you additionally wish to acknowledge the RSC platform itself, for example, when your work builds on the RSC or deposits into this community, we suggest the following.

Acknowledgement line

Artefact deposited in the Robot[ic] Study Companion community on Zenodo (https://zenodo.org/communities/rsc).

Canonical RSC reference

Baksh, F., Zorec, M. B., & Kruusamäe, K. (2024). Open-Source Robotic Study Companion with Multimodal Human–Robot Interaction to Improve the Learning Experience of University Students. Applied Sciences, 14(13).

We recommend citing this publication when referencing the RSC platform in publications and derived works.

Contact

For questions about the community or to discuss a potential contribution, visit rsc.ee and fill out this quick form 📄 or email us at robotstudycompanion@gmail[dot]com

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