RoboMealMate: Innovating Restaurant Service Hospitality with AI (Artificial Intelligence)
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Date
2025
Authors
Osama Mansour
Ahmad Rasheed
Journal Title
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Abstract
The RoboMealMate project is designed to harness the technological revolution in artificial
intelligence and robotics in restaurant automation, customer service, and smart hospitality.
The project aims to enhance customer service efficiency, reduce operational costs, and
provide customers with a unique experience. The robot will serve as a waiter. It will navigate
autonomously in restaurant environments, interacting with customers, taking orders, and
conversing with them.
• Importance aspects to cover:
1. Robot interaction: implement a friendly design that seamlessly interacts with
customers the design will include a screen for signs and emotions and a
microphone for speech recognition.
2. Navigation and Obstacle Avoidance: implement LiDAR-based SLAM
(Simultaneous Localization and Mapping) and image processing for accurate
movement and obstacle avoidance.
3. AI: using speech recognition, order processing, and image-based learning to
enhance adaptability and add human-like behavior.
4. Safety and reliability: ensure that the robot is secure for restaurant
environments, especially crowded environments by choosing the right
components, sensors, and design that is compatible with the work
environment.
• Objectives:
1. Enhance customer service.
2. Increase productivity and accuracy in the work environment.
3. Reduce operational costs.
4. Harnessing of AI and robotics revolution in serving people and
RoboMealMate is just the beginning.
• Methodology:
1. Hardware process:
Create a design for the robot body, then set up and connect the components,
such as the Raspberry Pi, Arduino Mega, sensors(LiDAR, ultrasonic, etc.),
camera, Screen, motors, and power supplies. Make sure that all components
are connected correctly.
2. Software process:
In this process, we will implement the algorithms for AI parts like OpenAI
API, speech-to-text and text-to-speech APIs, image processing, LiDAR-base
SLAM, ...etc.
3. Testing and debugging process: Test the robot in different situations, ensure that the
functionalities are working correctly, and handle the errors.
• Similar Projects:
While other restaurant robots exist, such as Pepper and Bear Robotics’ Servi,
RoboMealMate aims to stand out by incorporating advanced AI for interactive
communication, adaptable learning, and seamless integration in small to medium-
sized restaurant spaces.