An Automated Mechanised Robot for Handling Ricebags

Abstract

A novel technology that overcomes the difficulties of manual labor has been created to increase productivity in large-scale food storage facilities. With an emphasis on rice bags in particular, this creative approach seeks to seamlessly replace human interaction in duties like picking, storing, moving, and monitoring food bags. The system uses an integrated approach that includes precision grippers, scissor lifts, Cartesian robots, autonomous guided vehicles (AGVs), and an advanced artificial intelligence-driven control system. Especially, the technology known as Simultaneous Localization and Mapping (SLAM) plays a crucial part in guaranteeing the smooth operation of the system. While Cartesian robots precisely perform complex jobs, autonomous mobility from the AGVs enables efficient and accurate movement within the storage space. Scissor lifts add to the system's flexibility in managing different storage arrangements. Rice sacks can be handled carefully and under control thanks to precision grippers. Artificial intelligence algorithms are employed by the overarching control system to facilitate the smooth coordination of various constituents. By combining these cutting-edge technologies, the system not only simplifies operations but also drastically lowers the need for manual labor, opening the door for a more effective and cutting edge method of managing food storage