GENERATIVE AI FOR AUTONOMOUS SYSTEM DESIGN: ADVANCING APPLICATIONS IN ROBOTICS AND SMART CITIES

Authors: Nagaraj Parvatha

DOI: https://doi.org/10.37082/IJIRMPS.v12.i1.232521

Short DOI: https://doi.org/g9mndb

Country: India

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Abstract: Comprehensive use of generative AI stands vital for designing autonomous systems that enable progress in robotics systems along with urban planning initiatives. This research demonstrates how generative AI models including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) produce adaptable system designs which handle real-life problems while offering scalability features. Generative AI addresses essential matters of data security and hardware efficiency and ethical considerations to provide useful solutions that boost robotic control functions and optimize energy efficiency alongside urban infrastructure development. Our research demonstrates that generative AI shows major benefits through shorter development schedules combined with reduced expenses and superior scalability than conventional methods. The direct data visualizations reveal the capability of generative AI to minimize environmental footprint simultaneously with its transformative role in enabling smart cities and autonomous technologies. Generative AI maintains its essential position in the development of sustainable intelligent systems which adapt to progressive global changes.

Keywords: Generative AI, autonomous systems, robotics, smart cities, sustainability, innovation

Paper Id: 232521

Published On: 2024-02-26

Published In: Volume 12, Issue 1, January-February 2024

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