REAL-TIME AI SOLUTIONS IN AUTONOMOUS SYSTEMS AND ROBOTICS
Keywords:
Autonomous systems, Robotics, real-time AI, Machine learning, Deep neural networks, sensor integration, Decision Making Algorithms, Model-predictive control, Security, Smart manufacturingAbstract
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
References
Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. MIT Press.
Siciliano, B., & Khatib, O. (Eds.). (2016). Springer handbook of robotics (2nd ed.). Springer.
Sutton, R. S., & Barto, A. G. (2018). Reinforcement learning: An introduction (2nd ed.). MIT Press.
Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson.
Paden, B., Čáp, M., Yong, S. Z., Yershov, D., & Frazzoli, E. (2016). A survey of motion planning and control techniques for self-driving urban vehicles. IEEE Transactions on Intelligent Vehicles, 1(1), 33–55.
Thrun, S., Burgard, W., & Fox, D. (2021). Probabilistic robotics (2nd ed.). MIT Press.
Chen, T., Li, M., & Smola, A. J. (2015). Big data and AI for autonomous systems: Methods and applications. Journal of Robotics and Autonomous Systems, 70, 1–12. https://doi.org/10.1016/j.robot.2015.03.001
Camacho, E. F., & Bordons, C. (2013). Model predictive control (2nd ed.). Springer.
Levine, S., Finn, C., Darrell, T., & Abbeel, P. (2016). End-to-end training of deep visuomotor policies. Journal of Machine Learning Research, 17(39), 1–40.
Gao, F., & Wang, J. (2018). Sensor fusion techniques for autonomous robots: A review. Robotics and Autonomous Systems, 107, 11–23. https://doi.org/10.1016/j.robot.2018.02.003
Downloads
Published
How to Cite
Issue
Section
Categories
License
Copyright (c) 2025 Отабек Эргашев, Исломжон Исмоилов
This work is licensed under a Creative Commons Attribution 4.0 International License.
