Design and Development of a Mobile Goods Transfer Robot Using Waypoint GPS Navigation Method

• Published in: 2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology (ICSEIET) pp. 517 - 522
• Main Authors: Wiliyanto, Danang Puji, Supriyadi, Slamet, Mukhtar, Agus, Setyoadi, Yuris, Novita, Mega, Dixit, Ankur, Singh, Prabhat, Virmani, Rahul
• Format: Conference Proceeding
• Language: English
• Published: IEEE 14.09.2023
• Subjects: Automation; Goods transfer; Industries; Mobile robotics; Navigation; Obstacle avoidance; Robot; Robot kinematics; Robot sensing systems; Safety; Sensors; Service robots; Waypoint GPS navigation
• ISBN: 9798350329186
• DOI: 10.1109/ICSEIET58677.2023.10303290

The use of automated goods transfer robots, capable of autonomously moving items from one point to another without the need for manual operation, is widely adopted in various industries. The Waypoint GPS navigation method can be employed in developing an automated goods transfer robot. This research focuses on the design and development of a robot using two Global Positioning System (GPS) coordinates for navigation and a smartphone as the user interface, equipped with ultrasonic sensors as input. The main components utilized in this robot include the Arduino Mega 2560 microcontroller, neo-7M GPS module, HC-06 Bluetooth module, SR-04 sensor, and omni-directional wheels. The position data is obtained by converting the two GPS coordinates into distance and direction values. These values are further translated into Pulse Width Modulation (PWM) signals, which are used to drive the robot's motors. To avoid collision, fuzzy logic is employed to regulate the PWM signals. The research results demonstrate that the robot can autonomously navigate from one point to another based on the provided coordinates while effectively avoiding obstacles. The findings of this study address a research gap in the application of the Waypoint GPS navigation method for goods transfer robots. The purpose of this research is to design and develop a robot that can autonomously transfer goods using the proposed method. The methodology involves the integration of GPS coordinates, smartphone interface, ultrasonic sensors, and motor control mechanisms. The results indicate successful navigation from the origin to the desired destination, following the specified coordinates, and obstacle avoidance capability. In conclusion, the developed robot utilizing the Waypoint GPS navigation method showcases promising potential for automated goods transfer applications. The ability to operate autonomously, guided by GPS coordinates, and the avoidance of obstacles enhances the efficiency and safety of goods transfer processes. This research contributes to the advancement of automated systems and highlights the practicality and impacts of employing the Waypoint GPS navigation method in the field of mobile goods transfer robotics.