ISSN:2582-5208

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Paper Key : IRJ************957
Author: Kunal Nandi
Date Published: 03 Mar 2025
Abstract
The Kidnap Robot Problem occurs when an autonomous robot, which relies on Simultaneous Localization and Mapping (SLAM) for navigation, is suddenly displaced without prior movement history. This event resets its internal localization system, and as a result, it requires rapid Relocalization to restore navigation functionality. This paper presents a structured Functional and Performance testing framework to evaluate SLAM-based Relocalization in AI-driven robots. With this framework, we will analyze robotic relocalization challenges, test the impact of sudden displacement events such as manual lifting, SLAM or navigation crashes, and sensor failures, and measure the efficacy of relocalization algorithms. Results in this paper quantify relocalization recovery time, mapping or floor plan accuracy, and navigation continuity, providing a robust methodology for validating autonomous relocalization systems.
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