IOT ENABLED AI HUMANOID ROBOT USING RASPBERRY PI 5 FOR HUMAN FOLLOWING AND VOICE COMMUNICATION

Abstract

This project presents the design and development of an IoT-enabled AI humanoid robot powered by Raspberry Pi 5, integrating advanced technologies such as computer vision, natural language processing, and real-time IoT communication. The proposed system is capable of performing autonomous human-following and interactive voice communication, enabling effective human-robot interaction in real-world environments. The robot utilizes a deep learning-based vision system (YOLOv8) for accurate human detection and tracking, combined with PID-based motor control for smooth navigation and obstacle avoidance. Additionally, a voice interaction module incorporating speech recognition (Whisper) and text-to-speech synthesis (Piper) enables natural conversational capabilities.
The system architecture is structured into multiple layers, including sensing, actuation, communication, and power management, all coordinated through a modular software framework running on Raspberry Pi OS.