• Darshan Kumar S
• Chaitanya K
• Akash M
• Ajay B.G
• Bhargavi Ananth

In recent years, the integration of robotics and artificial intelligence (AI) has paved the way for innovative solutions in various domains. One such application is the development of a Visitor Guide Robot (VGR), which serves as an interactive and intelligent guide for visitors in museums, exhibitions, or large facilities. This project aims to design and implement a VGR using Raspberry Pi, a versatile and cost-effective single-board computer. The proposed VGR incorporates several key components, including Raspberry Pi for processing and control, sensors for environment perception, motors for mobility, and a user interface for interaction. The robot utilizes computer vision techniques for object recognition and navigation, allowing it to autonomously navigate through the environment while avoiding obstacles. Additionally, natural language processing (NLP) algorithms enable the VGR to understand and respond to visitor inquiries effectively. The development process involves hardware integration, software programming, and testing to ensure the functionality and reliability of the VGR. The Raspberry Pi serves as the central hub for processing sensor data, executing control algorithms, and facilitating communication with the user interface. Various sensors, such as cameras, ultrasonic sensors, and infrared sensors, provide the necessary input for environment perception and obstacle avoidance.

robotics, controller, sensors, the microphone, Speaker, Raspberry pi, GTTS, Speech recognition, native languages, Visitors Robotic Guide

"Visitors Robotic Guide Using Raspberry PI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.h530-h547, May-2024, Available :http://www.jetir.org/papers/JETIR2405767.pdf

"Visitors Robotic Guide Using Raspberry PI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. pph530-h547, May-2024, Available at : http://www.jetir.org/papers/JETIR2405767.pdf