Evaluation of a robotic restaurant management system with UI design, voice assistant, and machine learning integration

There has been a growing interest in robotics system and automation leveraging in the food service industry to enhance efficiency and customer experience.This paper presents the design and implementation of a Robotic Restaurant Management System (RRMS) that incorporates user-friendly UI design, voice assistant capabilities, and machine learning algorithms.The RRMS aims to streamline restaurant operations, optimize resource utilization, and provide personalized services to customers.The system integrates robotic platforms for food preparation and delivery, along with a centralized management interface for administrators and staff.Additionally, a voice assistant interface enables seamless interaction with the system, while machine learning algorithms analyze data to improve decision-making processes and enhance overall performance.This paper discusses the architecture, functionalities, and implementation details of the RRMS, along with potential benefits and challenges associated with its deployment.

Authors

Publication Details

Journal
Sigma Journal of Engineering and Natural Sciences – Sigma Mühendislik ve Fen Bilimleri Dergisi
Published
2025-01-01
DOI
https://doi.org/10.14744/sigma.2025.00078
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Evaluation of a robotic restaurant management system with UI design, voice assistant, and machine learning integration

Lalit N. Patil
Sigma Journal of Engineering and Natural Sciences – Sigma Mühendislik ve Fen Bilimleri Dergisi
AI in Service Interactions
article

Evaluation of a robotic restaurant management system with UI design, voice assistant, and machine learning integration

Lalit N. Patil
article en

Abstract

There has been a growing interest in robotics system and automation leveraging in the food service industry to enhance efficiency and customer experience.This paper presents the design and implementation of a Robotic Restaurant Management System (RRMS) that incorporates user-friendly UI design, voice assistant capabilities, and machine learning algorithms.The RRMS aims to streamline restaurant operations, optimize resource utilization, and provide personalized services to customers.The system integrates robotic platforms for food preparation and delivery, along with a centralized management interface for administrators and staff.Additionally, a voice assistant interface enables seamless interaction with the system, while machine learning algorithms analyze data to improve decision-making processes and enhance overall performance.This paper discusses the architecture, functionalities, and implementation details of the RRMS, along with potential benefits and challenges associated with its deployment.

Sigma Journal of Engineering and Natural Sciences – Sigma Mühendislik ve Fen Bilimleri Dergisi
Openalex Percentile: Top 94%
AI in Service Interactions
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