Design and Implementation of a Fully Automated Smart Restaurant Using Mobile Applications and Service Robots

Oct 12, 2026

The hospitality industry is undergoing a shift driven by mobile computing, IoT, and autonomous robotics. This research designs and implements a fully automated smart restaurant system that removes human intervention throughout the customer journey from reservation to exit. It combines a cross-platform mobile application with QR-based gate validation, automated table management, SMS notifications, interactive table boards, and autonomous service robots. A RESTful API layer synchronizes the mobile front-end, IoT controllers, and robot navigation, with prototype results showing reduced wait time, improved order accuracy, and fast food delivery.

LanguageEnglish

CategoryGeneral

FormatPDF

Pages21

Reading Time7 min

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Introduction

End-to-end automation motivation

Proposed system overview

Design and Implementation of a Fully Automated Smart Restaurant Using Mobile Applications and Service Robots Seeram Srinivasa Rao Koneru Lakshmaiah Education Foundation . S. N. Padhi Koneru Lakshmaiah Education Foundation Seeram Venkata Sai Pujitha Koneru Lakshmaiah Education Foundation Seeram Venkat Sai Divya Software Engineer, Virtusa Private Limited Research Article Keywords: Smart restaurant, Service robots, Mobile application, QR code authentication, IoT integration, Automated table management, Human-robot interaction, Contactless hospitality Posted Date: September 1st, 2026 DOI: [https://doi.org/10.21203/rs.3.rs-10764282/v1](https://doi.org/10.21203/rs.3.rs-10764282/v1) License: 􀁱 􀅏 This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Additional Declarations: No competing interests reported. Design and Implementation of a Fully Automated Smart Restaurant Using Mobile Applications and Service Robots a. Seeram Srinivasa Rao, b. S. N. Padhi, c. Seeram Venkata Sai Pujitha, d. Seeram Venkata Sai Divya, a & b. Professor, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur Dist., Andhra Pradesh, India. Email id: [ssrao@kluniversity.in](ssrao@kluniversity.in) [c. UG Ex Student](c. UG Ex Student), Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur Dist., Andhra Pradesh, India. Email [id: pujithaseeram19@gmail.com](id: pujithaseeram19@gmail.com) d. Software Engineer, Virtusa Private Limited, Hyderasbad, India, Email [id: divyasvs04@gmail.com](id: divyasvs04@gmail.com) Abstract The hospitality industry is undergoing a paradigm shift driven by the convergence of mobile computing, Internet of Things (IoT), and autonomous robotics. This paper presents the design and implementation of a fully automated smart restaurant system that eliminates human intervention across the entire customer journey from reservation to exit. The proposed architecture integrates a cross-platform mobile application for slot booking, digital menu browsing, secure payment processing, and QR code generation with a multi-layered physical infrastructure comprising QR-based gate validation, automated table assignment with real-time display boards and SMS notifications, interactive table-mounted communication boards, and autonomous service robots for food delivery. The system employs a RESTful API middleware layer to synchronise the mobile front-end with embedded IoT controllers and robot navigation modules. Experimental evaluation on a prototype deployment demonstrates a 73% reduction in average customer wait time, a 68% improvement in order accuracy, and a mean food delivery time of 4.2 minutes per table. User experience surveys conducted with 120 participants yield a System Usability Scale (SUS) score of 84.6, indicating excellent usability. Comparative analysis against conventional restaurant operations confirms statistically significant improvements across all measured performance dimensions. The proposed system establishes a scalable, cost-effective blueprint for next-generation autonomous hospitality environments. Keywords: Smart restaurant; Service robots; Mobile application; QR code authentication; IoT integration; Automated table management; Human-robot interaction; Contactless hospitality Corresponding author: Seeram Srinivasa Rao Funding: This research received no external funding. 1. Introduction The global restaurant industry, valued at approximately USD 3.5 trillion in 2023, faces mounting operational pressures including rising labour costs, post-pandemic hygiene expectations, and intensifying customer demand for seamless, personalised service experiences [1] . Traditional restaurant models, which rely heavily on human staff for reservation management, order taking, food delivery, and billing, are inherently susceptible to service inconsistencies, communi

FAQs

What is the main goal of the smart restaurant system described in this paper?

To provide fully automated hospitality with no mandatory human intervention, covering the full customer journey from reservation to exit.

Which components enable the system to authenticate customers and manage table assignment?

A cross-platform mobile application together with a cryptographically secured, time-bound QR code protocol for gate validation and table assignment, supported by real-time display boards and notifications.

What improvements were observed in the prototype evaluation?

The prototype deployment reported a 73% reduction in average customer wait time, a 68% improvement in order accuracy, and a mean food delivery time of 4.2 minutes per table.

Oct 12, 2026

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