Vision and Voice Controlled Bionic Robotic Arm for Assistive and Research Applications

Robotic arms are widely used in automation, prosthetic systems, and intelligent robotic applications. The development of flexible and cost-effective robotic manipulators remains an important research area in robotics and mechatronics engineering. This paper presents the research and development (R&D) of a modular bionic robotic arm capable of performing human-like movements through multiple control interfaces. The proposed system integrates a Raspberry Pi 5 with a camera module, voice command processing, and an ESP32/Arduino microcontroller to provide intelligent and flexible control of the robotic arm. The system supports three different control modes: camera-based vision commands, voice command recognition, and direct control commands sent to the ESP controller. The Raspberry Pi performs high-level processing such as object detection and speech recognition, while the ESP microcontroller performs low-level motor control using Pulse Width Modulation (PWM) signals. The robotic arm consists of nine servo motors and one DC motor that control finger movements, elbow bending, forearm rotation, and shoulder motion.The proposed design focuses on modularity, affordability, and expandability, allowing the robotic arm to be used as a research platform for future robotics development. Experimental results demonstrate that the system can successfully perform operations such as gripping, lifting, and object manipulation. The project demonstrates how embedded systems, computer vision, and intelligent control techniques can be integrated to develop an efficient robotic manipulator for assistive robotics, research laboratories, and educational environments. Index Terms—Bionic Arm, Robotic Manipulator, Computer Vision, Voice Control, Embedded Systems, Servo Motors.