For Authors

Submission Guidelines

TIRAS welcomes original research papers in intelligent robotics and autonomous systems. Manuscripts should be submitted as a single PDF in the TIRAS LaTeX class (two-column, article-number format). Because review is double-blind, please remove author names, affiliations, funding acknowledgments, and self-identifying references from the submitted version; these can be restored in the camera-ready copy.

Submit your manuscript to the editorial office at editorial@kaggleyes.top with the subject line "TIRAS submission — [short title]", or register an article directly through the article API.

Preparation

  • Use the LaTeX template and TIRAS article class; the compiled PDF must not exceed 12 pages (plus references).
  • Structure: abstract, introduction, related work, method, experiments, results, discussion, conclusion, references.
  • All figures must be legible in print; vector graphics (PDF/EPS) are preferred for plots and diagrams.
  • Cite published work wherever possible; include a code/data availability statement when available.
  • Article-number format: page numbers are replaced by the assigned KAGG article ID, so no page layout is needed before acceptance.

Review Process

After submission, the editorial office performs a completeness check (format, license, originality). Accepted manuscripts are then sent to at least two anonymous reviewers. Typical decisions: accept, accept with revisions, or reject. The typical time from submission to first decision is about eight weeks; accepted articles appear in the next monthly issue.

Publication & Charges

TIRAS charges no submission, review, or publication fees. Upon acceptance, authors sign the CC BY 4.0 license; authors retain copyright of their work.

Identifiers & Citation

Every published article is assigned a permanent KAGG article ID (e.g. KAGG:2610.00003) and a DOI of the form 10.5803/kagg.YYMM.NNNNN. Cite articles as:

Cite this journal A. A. Author, B. B. Author, "Title of the paper," Transactions on Intelligent Robotics and Autonomous Systems, vol. 1, no. 4, Oct. 2026. DOI: 10.5803/kagg.2610.00003.