Tracing Luggage Carrier Robot Vehicle: Design and implement an accurate self-control robot system

Abstract

Nowadays, travelers have been faced with a common problem when carrying heavy luggage, especially when airports do not meet the passengers' needs to some extent. Thus, the need to reduce the luggage carried is one of the obstacles that the traveler faces due to the lack necessitated by the fact that the vehicles provided by the airports. Therefore, to overcome this issue, several luggage carrier robots have been developed to provide user convenience and automation, which significant advancement in introducing mobility. Carrying luggage, following users, and elimination, common challenges faced by travelers. Therefore, a self-controlled luggage carrier robot is proposed to provide enhanced mobility, follow the user, avoid obstacles, and carry luggage effectively. A tracing person algorithm-based self-control robot and an ultrasonic sensor (HC-SR04) based avoiding obstacle avoidance, respectively. The simulation results have shown that the proposed system achieved in effectively demonstrates its ability to switch between tracing, stop, and collision avoidance modes autonomously by achieving a Mean absolute error (MAE) of 3.88 cm in distance tracking. Besides, it provides accurate logical tracking under different loads which is best for light-to-medium luggage loads (4-5 kg approximately) to maintaining optimal walking of 0.36 m/s.