This article analyzes real-time artificial intelligence (AI) solutions in autonomous systems and robotics. The research focuses on rapid data processing, real-time analysis of sensor signals, and decision-making processes in robots and autonomous devices. Real-time AI algorithms, including machine learning and deep neural networks, enable robots to optimize their movements, improve safety, and enable efficient interaction with the environment. The results of the study provide practical recommendations for industrial robots, automated transport and smart manufacturing systems
| Mualliflar | Эргашев, Отабек, Исмоилов , Исломжон |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2025-12-23 |
| Son | 4 |
| Betlar | 213-218 |
| Til | Rus |
Автономные системы, Робототехника, ИИ в реальном времени, Обучение машины, Глубокие нейронные сети, интеграция датчиков, Алгоритмы принятия решений, Модельно-предсказательное управление, Безопасность, Умное производство, Autonomous systems, Robotics, real-time AI, Machine learning, Deep neural networks, sensor integration, Decision Making Algorithms, Model-predictive control, Security, Smart manufacturing, Avtonom tizimlar, Robototexnika, Real vaqt AI, Mashinani o‘rganish, Chuqur neyron tarmoqlar, Sensor integratsiyasi, Qaror qabul qilish algoritmlari, Model-predictive control, Xavfsizlik, Aqlli ishlab chiqarish
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