Autonomous navigation in dynamic environments presents significant challenges in robotics, particularly in adapting to real-time verbal instructions. This paper introduces a novel approach using the ARMOS TurtleBot, integrated with the Ollama framework to process and execute voice commands. We developed a user-friendly voice interface allowing the robot to interpret commands such as “move forward,” “move backward,” “turn left,” “turn right,” and “stop” through natural language. Controlled tests evaluated the system’s responsiveness and accuracy, demonstrating the robot’s capability to adapt its path based on real-time verbal directions. This research highlights the integration of language processing technologies with autonomous robotics, enhancing robotic autonomy and offering practical solutions for service robots, assistive technologies, and industrial automation. The findings contribute significantly to the field, showcasing potential applications in dynamic interaction environments.