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@article{164427,
        author = {Ayush Katare and Om Kasar and Jay Kankale and Milind Kamble},
        title = {Navigating the Future: Spatial-Sense AGV for Enhanced Industrial Automation},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {12},
        pages = {2546-2551},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=164427},
        abstract = {In an age of automation, adaptable robotic systems are vital. This study crafts a Line Follower Robot with advanced obstacle detection to address this need. By enhancing obstacle avoidance, it surpasses traditional models, expanding practical utility. Incorporating obstacle detection ensures safe navigation through crowded spaces, enhancing versatility. This project aims to merge precise line following with intelligent obstacle detection, offering a holistic solution for diverse applications. This robot's ability to navigate complex courses and avoid obstacles dynamically marks a significant step forward in robotic development, enhancing its suitability for real-world deployment.},
        keywords = {Line Follower Robot, Obstacle Detection, Mobile Robot.},
        month = {},
        }