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Information × Registration Number 0224U032676, (0123U103047) , R & D reports Title Identification of transitioning to a post-critical operating mode of a robotic system. popup.stage_title Аналіз предметної області Head Humennyi Dmytro O., к.т.н. Registration Date 30-11-2024 Organization Kyiv National University of Construction and Architecture popup.description1 Development of fundamental methods and identifiers for detecting the transition of a robotic system into a post-critical operating mode, aiming to facilitate the subsequent restoration of system functionality in accordance with high-level criticality system requirements and specifications. popup.description2 In an age dominated by robotic automation, ensuring the efficiency, safety, and reliability of robotic systems is paramount. The study titled "Identification of transitioning to a post-critical operating mode of a robotic system" tackles the crucial issue of detecting the phase when a robotic system moves from its regular operation to a mode that could indicate potential failure or danger. The increasing complexity and versatility of modern robotic systems make them susceptible to unforeseen complications. Previous literature mainly focuses on robotic diagnostics and health monitoring but lacks in-depth insights into predicting sudden transitions to post-critical modes. This gap necessitates a more advanced and anticipatory approach to prevent operational risks. Central to this study is the integration of sensors that measure a variety of parameters like temperature, motion, load, and pressure, providing a holistic view of a robot's operation. This data undergoes comprehensive analysis, revealing patterns that indicate a shift towards a post-critical mode. Subsequently, machine learning algorithms, trained with this data, attempt to predict any such transitions. Experimental results, derived from controlled environments simulating potential fault scenarios, demonstrated the efficacy of the proposed system. The implications of these findings are vast, with applications ranging from industrial robots ensuring consistent product quality to medical robots operating in life-critical situations. Autonomous vehicles, too, can benefit, enhancing road safety. However, challenges persist. Sensor data noise, the diverse intricacies of different robots, and computational demands require attention. Still, the potential to integrate this health monitoring directly into robotic operating systems could revolutionize how robots are designed and maintained. Product Description popup.authors Vlasenko Myroslava I. Humennyi Dmytro O. Kondakova Anastasiia V. Malenko Mykola V. popup.nrat_date 2024-11-30 Close