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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM40696
Volume:
9 |
1 |
Jan 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The emulsion of Fog- grounded Edge Artificial Intelligence (AI) is an arising and transformative exploration area within robotics. This exploration examines the significant eventuality of accelerating robotic systems by integrating Edge AI and Fog Computing, aiming to enhance their cognitive capacities, independence, and functional effectiveness. The feasibility of real- time data analysis and decision- timber is enhanced by planting AI algorithms at the network edge, near the robots, and by using fog computing capabilities. This study investigates the different executions of Fog- grounded artificial intelligence (AI) in robotics. These operations encompass independent navigation, object discovery, and mortal- robot commerce. By showcasing these exemplifications, the exploration demonstrates the eventuality for a transformative impact on the capabilities of robotic systems through the integration of Fog- grounded AI also this study explores the obstacles and implicit advantages within this interdisciplinary field, furnishing precious perspectives on the promising avenues that can grease advancements in robotics by using the combined power of Fog- grounded Edge Artificial Intelligence. This study elucidates how the admixture of Fog Computing and Edge AI confers enhanced capabilities upon intelligent robotic systems, enabling them to operate autonomously in real time. This integration effectively addresses the obstacles generally encountered in conventional pall- grounded AI systems, similar as quiescence, internet connectivity, and data security enterprises. The study highlights the significance of armature, security, and ethical factors in exercising robotic intelligence. It emphasizes the need for data protection norms and translucency to insure responsible and dependable application of this technology in a fleetly changing terrain style are briefly covered. Evaluation criteria and due dates for the research paper are also provided.
KEYWORDS
Publication Date
11/30/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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