This paper introduces a 5 DOF manipulator arm designed for various industrial applications, featuring a voice control algorithm based on speech recognition technology. The system uses LabVIEW software for its user-friendly front-end interface, and an Arduino serves as the control unit for the manipulator arm. By integrating LabVIEW with Arduino, the setup allows users to operate the manipulator arm using natural language commands, making it highly intuitive and accessible. The manipulator arm is fully programmed to respond to basic voice commands, enhancing human–robot interaction capabilities. The synergy between LabVIEW and Arduino offers a flexible and expandable platform for future innovations in voice-controlled robotics. This setup is particularly beneficial for applications requiring hands-free operation, where voice commands can increase efficiency and reduce the need for manual intervention. Testing of the system included evaluating the manipulator arm's movement and making necessary adjustments based on calibration results. The tests confirmed the arm's responsiveness and accuracy to various basic voice commands. In a noise-free environment, the system achieved a speech-to-text conversion accuracy of 98%, demonstrating its effectiveness. In an indoor test area with nominal noise, the accuracy was about 95%, indicating reliable performance in real-world conditions. This project highlights the potential of combining voice recognition with robotic control systems, paving the way for advancements in industrial automation and human–robot collaboration.