ArticleHardwareX2026
Low-cost, open-access sensorized aerial robot multirotor testing operational platform.
Article in HardwareX, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
4 authors.
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Abstract
Mathematical modeling and simulation of aerial robotic systems (ARS) constitute a highly relevant field in domains such as smart cities and Industry 4.0. In this context, validating algorithm performance under real-world conditions remains essential. However, real-world testing presents several challenges, including the isolation of scenario-specific effects on algorithm performance. In this paper, we introduce the Low-Cost, Open-Access Sensorized Aerial Robot Multirotor Testing Operational Platform (ARMTOP). The ARMTOP features a gyroscope mounted on a fixed frame, allowing precise testing of pitch, yaw, and roll angles. Additionally, it integrates a Wi-Fi-based communication module for both sending commands and receiving onboard IMU data. The platform also includes a Graphical User Interface (GUI) for real-time visualization of IMU data, with the capability to export received data for offline analysis (e.g., feature extraction). The components of ARMTOP are developed using open-access frameworks, enhancing the platform's replicability for further customization and development.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.