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Navigating large and complex college campuses can be difficult for newcomers, visitors, and visually impaired individuals. To address this challenge, an Autonomous Campus Navigation Robot is proposed to provide intelligent and interactive guidance within campus environments. The system is designed to assist users in reaching their desired destinations efficiently while reducing confusion in unfamiliar surroundings. The robot uses intelligent path planning techniques to determine the shortest and most efficient route between different campus locations. By processing a digital representation of the campus layout, the system can guide users through optimal paths while adapting to real-time environmental conditions. A camera module is also integrated into the system to capture visual information from the surroundings, enabling monitoring and improving situational awareness during navigation. Users can interact with the system through a simple interface, allowing them to select destinations and receive guidance. The system also provides audio-based instructions to assist users during navigation, making it particularly useful for visually impaired individuals. Overall, the proposed system combines autonomous navigation, visual monitoring, and interactive user guidance to create a smart and accessible solution for campus navigation. The project demonstrates how intelligent robotic systems can enhance mobility, accessibility, and user experience in modern educational environments.
Keywords:
Autonomous Navigation, Raspberry Pi, A* Algorithm, Path Planning, Obstacle Detection, Ultrasonic Sensor, Pi Camera, Motor Driver (L293D), Mobile Robot, Campus Navigation System, Embedded Systems, Real-Time Navigation
Cite Article:
"AUTONOMOUS CAMPUS NAVIGATION ROBOT USING RASPBERRY-PI", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 5, page no.b473-b475, May-2026, Available :http://www.ijrti.org/papers/IJRTI2605157.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator