A Flexible and Scalable Architecture for Human-Robot Interaction

作者: Diego Reforgiato Recupero , Danilo Dessì , Emanuele Concas

DOI: 10.1007/978-3-030-34255-5_21

关键词:

摘要: Recent developments and advancements in several areas of Computer Science such as Semantic Web, Natural Language Understanding, Knowledge Representation, more general Artificial Intelligence have enabled to develop automatic smart systems able address various challenges tasks. In this paper, we present a scalable flexible humanoid robot architecture which employs artificial intelligent technologies developed on top the programmable called Zora. The framework is composed by three different modules enable interaction between Zora human for tasks Sentiment Question-Answering, Object Recognition. extensible, can be augmented other modules. Moreover, embedded are general, sense that they easily enriched adding training resources presented sub-components. design each module consists two components (i) front-end system responsible with humans, (ii) back-end component resides server side performs heavy computation.

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