6 DOF Robotic-Arm Using Gesture Control

This paper describes the design and development of a gesture-controlled 6-DOF robotic arm to enhance automation in industrial applications. This robotic arm is specially designed for pick-and-place operations with advanced gesture recognition and image classification capabilities to sort objects based on their color, shape, and size. These projects tackle almost all the issues related to robotic arms, including latency in gesture control, precision at object manipulation, and sorting technique scalability. A Jetson Nano acts as the central processing unit; flex sensors provide input for gestures; a camera detects objects in real time; and NEMA stepper motors provide smooth and precise movement for the methodology. The System Architecture Design ensures coordination by Component across the ROS Robot Operating System middleware Framework., Experimental results show significant improvement in gesture control accuracy as well as sorting efficiency making this arm suitable for industrial environments where precision is required alongside user-friendly interface concerns. These results are not only reliable but also reinforce researchers’ confidence in making further modifications to improve performance. Robots can control more robust systems by operating gesture-controlled systems with improved capabilities that also address shortcomings sorted by current methods.