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DEVELOPMENT OF A ROBUST WI-FI/4G-BASED ROS COMMUNICATION PLATFORM FOR AN ASSEMBLY AND REPAIR MOBILE ROBOT WITH RELIABLE BEHAVIOR

Abstract:

In recent years, the integration of Robotics and the Internet of Things (IoT) has paved the way for advanced applications in various fields, including assembly and repair tasks. This research focuses on the development of a reliable communication platform using Wi-Fi and 4G technologies for a mobile robot equipped with the Robot Operating System (ROS). The objective is to enhance the efficiency and dependability of the robot’s communication system during complex assembly and repair operations.

The proposed communication platform leverages the strengths of both Wi-Fi and 4G networks to ensure seamless connectivity in diverse environments. Wi-Fi is employed for short-range, high-bandwidth communication within controlled spaces, while 4G serves as a fallback and extends the robot’s operational range to areas with limited Wi-Fi coverage. This dual-mode approach ensures continuous communication and control, essential for the robot’s reliable behavior in dynamic and unpredictable environments.

The implementation of ROS further contributes to the development of a modular and scalable robotic system. ROS facilitates the integration of sensors, actuators, and other peripherals, enabling the robot to adapt to various tasks efficiently. Additionally, the communication platform is designed to prioritize data integrity and low-latency, crucial factors for real-time decision-making during assembly and repair operations.

To evaluate the performance of the proposed communication platform, a mobile robot prototype is developed and tested in simulated and real-world scenarios. The experiments focus on assessing the platform’s reliability, adaptability to changing network conditions, and overall effectiveness in achieving successful assembly and repair tasks.

The outcomes of this research contribute to the advancement of robotic systems in real-world applications, where reliable communication is a critical factor for success. The developed platform has the potential to enhance the capabilities of mobile robots, making them more resilient and adaptable in challenging environments, ultimately paving the way for advancements in automation and robotics for assembly and repair tasks.