In the modern workplace, robots are rapidly taking over repetitive tasks, with two main categories: industrial and service robotics. Service robots, often autonomous, provide various benefits in fields like offices, military, hospitals, and hazardous environments, handling tasks too difficult or dangerous for humans, such as bomb disposal. Robotic arms, akin to human arms, are programmable for precise, repetitive tasks. They consist of an electromechanical system with joints allowing translational or rotational motion. End effectors are customized for tasks like welding or grabbing. Robotic arms can operate manually or autonomously, and they serve commercial or domestic purposes, enhancing efficiency and safety. 3D printing, powered by computer-aided design (CAD), revolutionizes industries like healthcare, enabling fast, cost-effective production of personalized goods, including prostheses, accessible to everyone. This study explores a voice-controlled enabled robotic arm design which offering having human-like dexterity and flexibility in movements to pick and place objects, streamlining tasks through voice commands. The paper investigated the theoretical underpinnings for creating voice control algorithms that can successfully manage the robotic arm in erratic situations by examining various grips and holds of the human arm.