Design of a service robot for restaurant applications using Lidar-Based SLAM localization

Abstract

In this study, we propose the design of a table-running robot intended for deployment in restaurant envi-ronments, aiming to automate food
service operations while enhancing safety and accuracy. The proposed robot employs a multi-sensor fusion localization method, integrating
data from a LIDAR sensor, wheel en-coders, an accelerometer, and a gyroscope. Unlike systems that rely on magnetic tape for navigation,
our approach utilizes a SLAM (Simultaneous Localization and Mapping) algorithm to process sensor data and construct a dynamic map of
the environment. This enables the robot to navigate flexibly and reroute in re-sponse to moving obstacles. Additionally, we introduce a
localization method using V-L markers, allowing the robot to autonomously locate and dock with its charging station when battery levels
are low. Experi-mental results confirm the robot's accurate and reliable performance in real-world conditions.