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Sirvi Autor "Kaarelson, Kaarel-Richard" järgi

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    TeMoto Action Assistant: A Web-Based Human–Robot Interface for Designing UMRF Graphs
    (Tartu Ülikool, 2025) Kaarelson, Kaarel-Richard; Kruusamäe, Karl, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
    This thesis develops the TeMoto Action Assistant, a modern, web-based graphical user interface (GUI) designed to improve human-robot interaction within the TeMoto framework. It aims to simplify the creation and management of Unified Meaning Representation Format (UMRF) graphs, to speed up developers' time. Significantly, it uses a web-based architecture that many current ROS 2-based human-robot tnterface (HRI) solutions do not address. The proposed solution uses React, Python Flask, and the WebSocket protocol for real-time synchronization with the TeMoto Action Engine. Significantly, it provides GUI functionalities like creating robot tasks via drag-and-drop, editing action parameters, and built-in runtime execution and monitoring. By providing an open-source, multi-platform GUI, this work lowers the barrier for entry for robotic application development and hopes to expand the adoption of the TeMoto framework.

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