Description

This work focuses on the development of an AI-based task planner for a robotic shopping assistant. The project aims to design and implement an intelligent system that allows the robot to efficiently assist customers in a retail environment. The AI task planner will manage the robot's actions, including navigating the store, locating items, and responding to customer queries. Key objectives include optimizing the robot's task execution, ensuring seamless interaction with users, and improving the overall shopping experience. The system will be evaluated based on its efficiency, interaction quality, and adaptability to various shopping scenarios.