Cognitive Cyber-Physical Systems: Fusing Human Intelligence with Autonomous Agents

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Prof. Anil Pandurang Gaikwad, Prof. Kakpure Krutika Balram, Prof. Ankur B Shukla

Abstract

Through an exhaustive survey of relevant scholarly works [15-26], this research explores the integration between human thought processes and autonomous agents in Cognitive Cyber-Physical Systems (CPS). Some of the key themes explored are: factors affecting situation awareness in self-driving cars, trends for industrial augmented reality and how revolutionary will be the metaverse. All of this adds richness to the discussions about overcoming real-time fault diagnosis challenges and how to make drone transportation systems secure, as well in edge intelligence, 5G and blockchain being relevant for autonomous vehicles. This research outlines a model for human-autonomy interaction modeling. By combining reinforcement learning and cognitive-aware autonomous agents, the adaptability can be improved this way.


 

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