Adaptive Autonomous Assistance Using Rasberry Pi

Abstract

This project focuses on the development of a general-purpose humanoid robot designed to perform a wide range of tasks across diverse environments. The robot aims to enhance human-robot collaboration by integrating advanced features such as natural language processing, gesture recognition, and facial expression analysis to facilitate seamless and intuitive interaction. Machine learning algorithms are embedded to enable the robot to adapt and improve its functionality over time by learning from user interactions and experiences. Additionally, the design emphasizes energy efficiency, reliability, and cost-effectiveness to make the system scalable for potential mass production. The project envisions a socially aware humanoid robot capable of operating in settings ranging from home care to office assistance, contributing to automation and human productivity. By addressing limitations in existing humanoid systems, the project aspires to create an intelligent and adaptable solution for real-world applications.