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This paper contributes to the challenge of real-time gesture recognition for mobile robot teleoperation. It introduces a new tailored dataset GESTRO with 11 dynamic gestures captured in 3,300 samples in total dedicated for intuitively controlling mobile autonomous systems. Based on the proposed dataset, this paper introduces a LSTM (long short-term memory) model with attention mechanism, achieving an accuracy of 0.98. An extensive evaluation examines the data quality and the importance of dynamic sequence for accurate gesture detection. Finally, the proposed model is implemented on a mobile robotics system, demonstrating its usability in realistic human-robot interaction setting. The proposed dataset along with the presented models are made publicly available (\n                    <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"https:\/\/github.com\/thohemp\/gestro\" ext-link-type=\"uri\">https:\/\/github.com\/thohemp\/gestro<\/jats:ext-link>\n                    ).\n                  <\/jats:p>","DOI":"10.1007\/s10846-026-02395-9","type":"journal-article","created":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T08:41:54Z","timestamp":1776328914000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["GESTRO: Skeleton-Based Dynamic Gesture Recognition for Robot Teleoperation"],"prefix":"10.1007","volume":"112","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3621-7194","authenticated-orcid":false,"given":"Thorsten","family":"Hempel","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Magnus","family":"Jung","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arman Ahmed","family":"Khan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ayoub","family":"Al-Hamadi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,4,16]]},"reference":[{"key":"2395_CR1","doi-asserted-by":"crossref","unstructured":"Ahmad, K.A., Silpani, D.C., Yoshida, K.: Hand gesture recognition by hand landmark classification. 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