Python
Aim:
The Mainstay of the project to design and develop an intelligent human-following baggage-carrying robot with IoT-based monitoring that automates luggage transport.
Introduction:
In today’s fast-paced world, travel and mobility have become essential parts of daily life, whether for business, tourism, or personal purposes. However, carrying heavy baggage over long distances in airports, railway stations, shopping malls, or large public areas can cause significant physical strain, particularly for the elderly, children, and individuals with disabilities. This often leads to fatigue, reduced travel comfort, and even the risk of injury.
A human-following baggage-carrying robot offers a practical solution to these challenges by reducing the physical effort required to transport luggage. Such a system can enhance convenience, improve accessibility, and promote inclusivity, ensuring that all individuals—regardless of age or physical capability—can travel comfortably. Moreover, it can increase efficiency in high-traffic public areas, where users can move freely without worrying about their belongings.
Beyond personal travel, this concept has potential applications in logistics, hospitality, and healthcare, such as assisting workers in warehouses, delivering goods in hotels, or transporting medical supplies within hospitals. By combining automation with user-friendly control, the robot aligns with the growing demand for smart assistance systems that improve quality of life, save time, and encourage technological adoption in everyday activities.
Proposed system:
The proposed system is an advanced human-following baggage-carrying robot designed to operate in dynamic public environments such as airports, shopping malls, and large campuses. At its core, an Arduino microcontroller acts as the main control unit, managing all sensors and actuators. The robot is powered by a 12V battery and uses a motor driver with two DC motors for movement.
For navigation, three ultrasonic sensors are positioned at the front to detect and avoid obstacles, while a rear ultrasonic sensor identifies and follows the person. An accelerometer monitors the robot’s tilt to ensure stability during operation. A load cell measures the baggage weight placed on the robot’s platform.
An ESP32 module enables wireless communication with an Android application. The user logs into the app, enters the robot’s ID, and presses the start button. The load cell immediately records the weight, and the robot begins following the user. Throughout the trip, the app displays real-time weight, travel time, and distance covered.
When the user presses the stop button, the robot halts, and the app automatically generates a bill based on the recorded parameters. The system then resets, ready for the next user. This approach provides a smart, user-friendly, and commercially viable solution for baggage transport.
Reviews
There are no reviews yet.