The voice-controlled robotic arm project aims to develop an intelligent human-robot interaction system that enables users to control a robotic arm through voice commands. This project combines advancements in robotics, natural language processing (NLP), and machine learning to create a responsive and intuitive interface between humans and robots. The proposed system utilizes a robotic arm equipped with sensors, actuators, and a microphone array for audio input. The microphone array captures the user's voice commands, which are then processed by a robust speech recognition system. The speech recognition system leverages state-of-the-art NLP techniques to convert the user's spoken words into text. Once the user's commands are transformed into text, a language understanding module interprets the instructions, mapping them to specific actions for the robotic arm. The system employs machine learning algorithms to train a model capable of recognizing a wide range of voice commands and associating them with the desired arm movements. To ensure real-time interaction, the system integrates a feedback loop between the robotic arm and the user. This loop allows the user to receive audio or visual feedback, such as confirmation messages or arm position updates, enhancing the user's sense of control and understanding of the system's behavior.
Yash Yengantiwar , Vishal Shinde , Yash Pawar , Prof. Radhika Gulhane , S. G. Watve "Voice controlled Robotic Arm" Iconic Research And Engineering Journals Volume 7 Issue 3 2023 Page 52-56
Yash Yengantiwar , Vishal Shinde , Yash Pawar , Prof. Radhika Gulhane , S. G. Watve "Voice controlled Robotic Arm" Iconic Research And Engineering Journals, 7(3)