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@article{178224,
        author = {Lithindhara Babu and Gowtham raj. M and Kevin .J and Kishore kumar. A},
        title = {Innovative convolift for innovative material handling},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {3164-3168},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178224},
        abstract = {This study presents the design of a cost-effective flexible convolift for material handling. Automated Guided Vehicles (AGVs) are essential components of contemporary material handling systems, improving automation, safety, and efficiency in sectors like manufacturing, warehousing, and logistics. These autonomous trucks move cargo with little assistance from humans, saving money on labor and increasing operational precision. AGVs use cutting-edge technologies, including as sensors, LiDAR, artificial intelligence, and path-planning algorithms, to follow predetermined paths, stay clear of obstructions, and streamline processes. They can be used for order picking, assembly line support, inventory transfer, and pallet transportation. By incorporating AGVs into material handling procedures, companies may increase worker safety, decrease downtime, and increase productivity. Future intelligent and effective supply chain management is anticipated to be significantly shaped by AGVs as industries continue to embrace automation.},
        keywords = {AGV, Lidar, Artificial intelligence, Path-planning algorithms, RFID.},
        month = {May},
        }