"Building a Voice-Controlled AI Robot: Study in Artificial Intelligence Techniques" | ANSH WAZIR |

This video delves into a thesis project titled "Design and Development of Experimental Setup for Study and Investigation of Artificial Intelligence Techniques." Conducted by engineering students at Netaji Subhas University of Technology, this project explores how AI and machine learning can be applied to voice-activated robotics.

The experimental setup centers on a four-wheel-drive mobile robot controlled through voice commands. The project uses Linear Predictive Coding (LPC) to process speech signals and an Artificial Neural Network (ANN) for command recognition and training. With these methods, the team achieved impressive results, including a 97.1% accuracy rate in the training phase and an overall 84% accuracy in command recognition. These innovations demonstrate the potential of combining AI with robotics to achieve autonomous systems capable of complex tasks with minimal human intervention.

Throughout the video, we explore the methods used for AI model training, such as feature extraction through LPC and ANN-based learning, as well as challenges faced in real-world applications. We’ll also look at how the team implemented MATLAB for simulation and Arduino programming to bring this intelligent, voice-driven robot to life. This thesis serves as a foundation for further AI research, with applications spanning industrial automation, assistive technologies, and beyond. Join us to learn more about the power of AI-driven robotics and its future potential.