SLAM (simultaneous localization and mapping) is a technique for automated vehicles that enables simultaneous map building and vehicle localization. The vehicle is able to map out uncharted terrain owing to SLAM algorithms. Engineers use the map information to carry out tasks such as path planning and obstacle avoidance. An autonomous machine needs the ability for planning the motion of a high level command. For Example – If a task is given to explore a particular area, the bot have to plan accordingly to complete the required task. To achieve thislevel of accomplishment, the path works on an algorithm that solves SLAM and path planning problems. The machine is designed in such a way that it will work as a grass cutter will complete the task in the given frame. The grass cuttingmachine creates its own path in the frame and detects obstacle coming in the path. In this way the Slam robot is utilized in the application of agricultural field. In the current work, we have designed a 3-D model of Slam robot and its various components like LIDAR Camera, Jetson Nano, Lithium-Ion Battery, Motor and Body design of machine. This model is capable of performing grass cutting operation using cutting blade and collection of waste in a sack attached to the machine. This machine works on automation based on path planning algorithms using ROS, this eliminates human interference. Various kinds of research paper were reviewed to compare different kinds of mechanisms and various components were analyzed for the final model created.

SLAM, LIDAR, Jetson Nano, Lithium Ion Battery