AI-BASED VOICE-CONTROLLED AUTONOMOUS ROBOT WITH OBSTACLE AVOIDANCE

This paper describes a proposed AI-based voice-controlled autonomous robot with obstacle avoidance. The design combines speech-command recognition, embedded processing, motor actuation, and ultrasonic distance sensing. Voice commands provide a convenient way to request movement, while obstacle-priority logic reduces the risk of collision by stopping or redirecting the robot when an object is too close. The system is suitable as an educational prototype and can be expanded with better sensing and navigation algorithms. Its actual performance must be established through documented experiments under defined operating conditions; no unverified performance results are claimed here.

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