Autonomous Equipment Handling Vehicle for Warehouse

This paper’s objective is to provide an autonomous bot that serves as an equipment handling vehicle and can be implemented in warehouses. The study explores the possibilities for further development and implementation in real-time applications while outlining the necessity for such a design. Apart from autonomous motion which uses LiDAR it also deals with equipment handling system that utilizes DCNN (deep convolutional neural network) which identifies the object, and it is picked by forklift setup. An NVDIA Jetson Nano single-board computer is used as the control unit computational of the system. In the current scenario, Equipment handling vehicle is manually controlled by humans which utilizes more energy and time of the workers so autonomous operation helps in reducing it and therefore their time and energy can be spent on other operations in warehouse. This invention is cost effective in both manufacturing and implementing in modern autonomous world.