Voice Control Robotic Arm Using Machine Learning

Abstract

This paper explains about voice-controlled robotic arm which as the following function like recognizing individual voices, object identification, after recognizing the particular object it will pick the object.Raspberry Pi Microcontroller helps to identify the particular object and control the DC Motor to Pick and Place the recognized object. In Raspberry pi Microcontroller with the use of SSDMobileNet Caffe and proto.txt models’ objects are identified. which insists theArm to pick the right one. Motors are controlled by the motor shield driver (L293D). For the individual voice commands, Voice Recognition Module Has Used. recognition process is imported in raspberry pi using communication serial port from Arduino Uno. These Caffe class models have 21 trained objects. If the classes object is matched with the user’s voice commands then picking and placing process take places. Otherwise, it moves on to the next location to search for the commended object