Inquiring Natural Language Processing Capabilities on Robotic Systems through Virtual Assistants: A Systemic Approach

Abstract

This paper attempts to approach the interface of a robot from the perspective of virtual assistants. Virtual assistants can also be characterized as the mind of a robot, since they manage communication and action with the rest of the world they exist in. Therefore, virtual assistants can also be described as the brain of a robot and they include a Natural Language Processing (NLP) module for conducting communication in their human-robot interface. This work is focused on inquiring and enhancing the capabilities of this module. The problem is that nothing much is revealed about the nature of the human-robot interface of commercial virtual assistants. Therefore, any new attempt of developing such a capability has to start from scratch. Accordingly, to include corresponding capabilities to a developing NLP system of a virtual assistant, a method of systemic semantic modelling is proposed and applied. For this purpose, the paper briefly reviews the evolution of virtual assistants from the first assistant, in the form of a game, to the latest assistant that has significantly elevated their standards. Then there is a reference to the evolution of their services and their continued offerings, as well as future expectations. The paper presents their structure and the technologies used, according to the data provided by the development companies to the public, while an attempt is made to classify virtual assistants, based on their characteristics and capabilities. Consequently, a robotic NLP interface is being developed, based on the communicative power of a proposed systemic conceptual model that may enhance the NLP capabilities of virtual assistants, being tested through a small natural language dictionary in Greek.

Natural Language Processing Influence on Digital Socialization and Linguistic Interactions in the Integration of the Metaverse in Regular Social Life

“…Figure 5 shows that the way we obtain support and information in our daily activities is changing because of the integration of NLP in the Metaverse. With the use of powerful NLP algorithms, virtual assistants are becoming increasingly perceptive and able to comprehend complex requests from people [109]. They can provide prompt, contextually relevant help.…”

Research on 5G User Perception Detection and Experience Improvement Optimization Based on Capsule Network

“…There is considerable agreement on the importance and usefulness of KPIs (Han et al, 2020). The operator is primarily concerned with metrics like capacity, reliability, and service quality (Giachos et al, 2023). From the standpoint of the user, the most crucial criteria are round-the-clock accessibility, boundless data storage, and zero latency.…”

A Natural Language Generation Algorithm for Greek by Using Hole Semantics and a Systemic Grammatical Formalism

“…The purpose of this work is to develop a computational Natural Language Generation (NLG) algorithm, for the Greek language, which will serve the human-machine communication process. An in-tegrated HRI (Human-Robot Interaction) system [1] includes the dialogue process [2] and upgrades it to a role in relation to a Virtual Assistant [3] . In general, the need to generate sentences from an engine exists for two reasons:…”