Smart Autonomous Robot for Efficient Hospitality Service

Title

Smart Autonomous Robot for Efficient Hospitality Service

Creator

Krishnan, U. Hari; Ramesh, A.; Smera, C.; Sharmila, B.

Description

The hospitality industry is constantly striving to deliver excellent guest experience in the form of timely service and quality food. However, increasing customer expectations have been challenging the industry in the form of workload management, the recruitment of skilled personnel, and the management of operating expenses. Faced with these challenges, companies are embracing state-of-the-art technologies, and mobile robots have been viewed as a potential solution. This paper presents the concept design of a state-of-the-art autonomous robot for food delivery in hospitality establishments. Inspired by robots such as Amazon's Kiva Robots, the robot uses camera modules, path finding algorithms, and sensors to navigate through dynamic spaces while avoiding furniture and moving guests. Unlike warehouse robots, restaurant robots need to learn to adapt to uncertain environments while maintaining the friendly ambiance. By automating routine tasks such as food delivery, the robot allows staff to focus on delivering personalized customer service. Its technical features consist of environmental monitoring camera modules, path-finding algorithm sensors for obstacles detection. It adapts to dynamic environmental conditions for efficiency and safety. Innovation increases operational efficiency, saves labor costs, and improves food quality. 2025 IEEE.

Source

2025 2nd International Conference on New Frontiers in Communication, Automation, Management and Security, ICCAMS 2025;

Date

01-01-2025

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Autonomous robots; Environmental monitoring; Food delivery; Human-robot interaction; Obstacle detection; Pathfinding algorithms

Coverage

Krishnan U.H., Christ (Deemed To Be University), Dept. of Computer Science, Bengaluru, India; Ramesh A., Christ (Deemed To Be University), Dept. of Computer Science, Bengaluru, India; Smera C., Christ (Deemed To Be University), Dept. of Computer Science, Bengaluru, India; Sharmila B., Christ (Deemed To Be University), Dept. of Computer Science, Bengaluru, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 979-833159610-1;

Format

online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ICCAMS65118.2025.11234126

https://www.scopus.com/pages/publications/105030113944?origin=resultslist