Abstract:
During peak hours, large and popular restaurants often struggle to provide satisfactory
service to their customers, leading to long waiting times for orders and deliveries due to
overcrowding. To address this challenge, we have developed a specialized project aimed
at enhancing customer service and meeting the unique needs of restaurants. Our solution
involves the integration of a bot and a customized web page, working together to optimize
in-restaurant operations.
At the heart of our system lies an advanced algorithm based on the Robot Operating
System (ROS). This algorithm enables the robot to intelligently determine the most efficient path to fulfill customer orders. By carefully considering factors such as mapping and
localization, the robot can select the optimal routes, minimizing the distance traveled and
maximizing its speed. As a result, the system can provide faster and more efficient service
to customers.
Our primary objective in this project is to design, implement, and train an intelligent
system capable of effectively meeting the customer service requirements of restaurants.
Through the utilization of robotics, path planning, ROS, mapping, and localization technologies, we aim to revolutionize the dining experience by reducing waiting times and
improving overall service quality.
KEYWORDS: Robot, Path Planning, ROS,MAPING , Localization.
