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Auto-Guided Smart Forklift

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dc.contributor.author Thiruchelvam, Stephenraj
dc.contributor.author Pathirana, Thisara
dc.date.accessioned 2024-03-26T04:44:34Z
dc.date.available 2024-03-26T04:44:34Z
dc.date.issued 2023
dc.identifier.citation Thiruchelvam, Stephenraj; Pathirana, Thisara (2023), Auto-Guided Smart Forklift, 8th International Conference on Advances in Technology and Computing (ICATC 2023), Faculty of Computing and Technology, University of Kelaniya Sri Lanka. Page 7-10. en_US
dc.identifier.uri http://repository.kln.ac.lk/handle/123456789/27837
dc.description.abstract Combination of automation and cognitive ability offers a creative way to change conventional warehouse and logistics processes through the concept of Auto guided smart forklift. The project focused on developing a prototype of a forklift capable of autonomous navigation, obstacle recognition, and adaptive decision-making by using modern technologies and sophisticated sensor systems. The initiative aims to increase operational effectiveness, eliminate human error, and promote workplace safety by automating routine materials handling operations. The project highlights the value of multidisciplinary cooperation in promoting innovation in industrial automation while also showcasing the potential of modern engineering. Through the establishment of new criteria for effectiveness, security, and productivity in warehouse and logistics management, the outcomes of this project have the potential to significantly impact the materials handling environment. en_US
dc.publisher Faculty of Computing and Technology, University of Kelaniya Sri Lanka. en_US
dc.subject Autonomous navigation, Obstacle recognition, Automation, adaptive decision-making. en_US
dc.title Auto-Guided Smart Forklift en_US


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