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Embodied AI Through Cloud-Fog Computing: A Framework for Everywhere Intelligence

Dongxiao Hu, Dapeng Lan, Yu Liu, Jiahong Ning, Jia Wang, Yun Yang, Zhibo Pang

Year
2024
Citations
7

Abstract

Embodied AI represents a crucial step towards achieving Artificial General Intelligence (AGI). The next paradigm of Embodied AI involves physical embodiment, enhanced perception capabilities, and adaptive automation. This advances the field significantly, paving the way for broader expansion. Despite the significant progress, existing computing frameworks, like local computation or cloud computing, struggle to meet the substantial demands of Embodied AI. The Cloud-Fog Embodied framework, namely based on CFA (cloud-fog automation) offers a promising solution to address these challenges. Our goal is to drive integration across multiple domains, including AI, robotics and industrial production, to tackle multifaceted challenges and seize opportunities to achieve AGI in the future.

Keywords

Cloud computingEmbodied cognitionComputer scienceHuman–computer interactionData scienceArtificial intelligenceOperating system

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