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Conference Paper A Framework for Model-Sharing of Augmented Intelligence in Container-based Modular Robot Using Cloud System
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Authors
Choulsoo Jang, ByoungYoul Song, Young-sook Jeong, Hong Seong Park
Issue Date
2023-06
Citation
International Conference on Ubiquitous Robots (UR) 2023, pp.993-996
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/UR57808.2023.10202258
Abstract
Intelligent service robots can provide services by utilizing a variety of modular artificial intelligence (AI) modules. These AI modules can be containerized using Docker, a type of virtual machine, to resolve dependencies between libraries. This paper presents a framework for sharing AI models among container-based modular robots, allowing robots to improve their intelligence through continuous learning in a cloud environment. The framework deploys model files separately from a Docker image, allowing augmented models with version tags to be shared among robots easily and efficiently.
KSP Keywords
Cloud systems, Continuous learning, Modular robot, Service robots, Virtual Machine(VM), artificial intelligence, cloud environment, intelligent service