The Evolution and Impact of Autonomous Systems: A Technical Analysis
DOI:
https://doi.org/10.32628/CSEIT251112287Keywords:
Artificial Intelligence, Autonomous Systems, Machine Learning, Robotics, Smart ManufacturingAbstract
This comprehensive technical article explores the evolution and impact of autonomous systems across various industrial sectors. The article explores the integration of artificial intelligence, machine learning, robotics, and advanced sensor networks in creating sophisticated autonomous platforms. It details the core architectural components, including perception systems, decision-making frameworks, actuation and control mechanisms, and communication infrastructure. The article covers practical applications in transportation, healthcare, manufacturing, and agriculture, demonstrating significant improvements in efficiency, safety, and operational capabilities. The article also addresses critical technical challenges, ethical considerations, and future directions for autonomous system development, emphasizing the importance of reliability, adaptability, and human-machine interaction.
Downloads
References
Muhammad Zohaib Butt, et al., "A review of perception sensors, techniques, and hardware architectures for autonomous low-altitude UAVs in non-cooperative local obstacle avoidance," Robotics and Autonomous Systems, Volume 173, March 2024, 104629. [Online]. Available: https://www.sciencedirect.com/science/article/abs/pii/S0921889024000125
Manikandan Ganesan, et al., "A Comprehensive Review on Deep Learning-Based Motion Planning and End-to-End Learning for Self-Driving Vehicle," in IEEE Transactions on Intelligent Transportation Systems, 2024. [Online]. Available: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10510276
Keli Huang, et al., "Multi-modal Sensor Fusion for Auto Driving Perception: A Survey," arXiv:2202.02703v2 [cs.CV], Feb. 2022. [Online]. Available: https://arxiv.org/abs/2202.02703
Rohan Inamdar, et al., "A comprehensive review on safe reinforcement learning for autonomous vehicle control in dynamic environments," e-Prime - Advances in Electrical Engineering, Electronics and Energy, Volume 10, December 2024, 100810. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S2772671124003905
P.J. Antsaklis, et al., "Towards Intelligent Autonomous Control Systems: Architecture and Fundamental Issues," Journal of Intelligent and Robotic Systems 1: 315- 342, 1989. Kluwer Academic Publishers. Printed in the Netherlands. [Online]. Available: https://people.engineering.osu.edu/media/document/2024-02-08/intautcont-jirsta.pdf
Habtamu Abie, et al., "Autonomous Adaptive Security Framework for 5GEnabled IoT," arXiv:2406.03186 [cs.LG], June 2024. [Online]. Available: https://arxiv.org/pdf/2406.03186
Hasnawiya Hasan, et al., "The Impact of Autonomous Vehicles: A Comprehensive Analysis," Hasan et al. International Journal of Science, Engineering and Technology, 2023,. [Online]. Available: https://www.ijset.in/wp-content/uploads/IJSET_V11_issue5_539-1.pdf
Junaid Bajwa, et al., "Artificial intelligence in healthcare: transforming the practice of medicine," Future Healthc J. 2021 Jul;8(2). [Online]. Available: https://pmc.ncbi.nlm.nih.gov/articles/PMC8285156/
Noorul Shaiful Fitri Abdul Rahman, et al., "The adoption of industry 4.0 practices by the logistics industry: A systematic review of the gulf region," Cleaner Logistics and Supply Chain, Volume 5, December 2022, 100085. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S2772390922000580
Mrutyunjay Padhiary, et al., "Enhancing precision agriculture: A comprehensive review of machine learning and AI vision applications in all-terrain vehicle for farm automation," Smart Agricultural Technology Volume 8, August 2024, 100483. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S2772375524000881
Osama Zaki, et al., "Reliability and Safety of Autonomous Systems Based on Semantic Modelling for Self-Certification," Robotics, vol. 10, no. 1, pp. 10, 2021. [Online]. Available: https://www.mdpi.com/2218-6581/10/1/10
Helder Coelho, "Future Challenges for Autonomous Systems," Lecture Notes in Computer Science, vol. 5640, pp. 87-100, 2009. [Online]. Available: https://dl.ifip.org/db/series/lncs/lncs5640/Coelho09.pdf
Downloads
Published
Issue
Section
License
Copyright (c) 2025 International Journal of Scientific Research in Computer Science, Engineering and Information Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.