Evaluation of Voice Interface Integration with Arduino Robots in 5G Network Frameworks

Abstract

In the fourth industrial revolution robots, voice control interfaces and 5G networks play significant role towards advanced real-time autonomous control systems in an industrial domain as well as a social domain. With Arduino-based robots controlled by voice commands for more natural human-machine communications and 5G enabling low latency, high-reliability connectivity as degradation due to typical interference does not matter. This article explores the efficiency and accuracy of voice-controlled interfaces to function robotic attributes via ultra-low latency associated with 5G network links intended for Arduino robots. Methods: An Arduino robot equipped with a voice-controlled interface that utilizes speech recognition and Natural Language Processing (NLP) to understand and carry out commands. This setup was trialed on a 5G network to guarantee connectivity and operational efficiency. Various scenarios and loads were examined in controlled experiments to evaluate response times, precision, and reliability. The 5G has lower latency response time, which led to better command execution. Accurate interpretation of voice commands and real-time adaption to robotic operations for continuous effective behavior across operating conditions and environmental scenarios are demonstrated to highlight the robustness of voice control interface. The combination of voice-activated Arduino robots and 5G networks has paved the way for industrial automation and smart applications, showcasing an innovative approach to human-robot interaction and collaborative robotics. Nevertheless, it is important to analyze the scalability, security, and ethical considerations of these technologies on a wider scale in different domains and applications to guarantee their safe, effective, and equitable implementation.