An Interactive Robotic System for Efficient Book Borrowing and Returning in a Library Environment

Navigating a large library can be an overwhelming task for many users. The challenge of locating specific books often results in wasted time and diminished user experience. This work introduces an interactive robotic system to assist library users in borrowing and returning books. The system utilizes facial recognition technology to identify and greet users upon entry into its detection range. For book borrowing, a speech recognition algorithm queries users about the books’ titles they wish to borrow. It then accesses a database modeled to mimic the University of Detroit Mercy Library database. Subsequently, the robot guides users to retrieve the requested books from their corresponding bookshelves on the library map using the shortest possible path. After completing the retrieving task, the robot autonomously returns to its initial greeting position within the library. For book returns, a QR code algorithm enables users to scan the QR code on the book cover in front of the robot’s camera. The borrowing and returning procedures have been tested in real-time under various scenarios to ensure reliability and effectiveness. Furthermore, an interactive library website has been developed to assist users in checking the availability and precise location of books online. This website features distinct login privileges for students and administrators, facilitating access to essential library information and services.