Localization in warehouse using robot

With changing trend robots are being used everywhere. Robots are also used in warehouse for localization, picking up heavy objects and navigating while avoiding obstacles. Our main focus is localization in a warehouse. There are traditional methods that being are used for localization like the line

Project Title

Localization in warehouse using robot

Project Area of Specialization

Robotics

Project Summary

With changing trend robots are being used everywhere. Robots are also used in warehouse for localization, picking up heavy objects and navigating while avoiding obstacles. Our main focus is localization in a warehouse. There are traditional methods that being are used for localization like the line following technique but in this technique the robot doesn’t operate autonomously. We want to make an autonomous robot that will move from one place to the other. For the movement of the robot there will be motors attached and the instruction to them will be send by the Arduino. To move from one place to another it will use a map. For the mapping of the environment, we are using a technique known as SLAM (Simultaneous Localization and Mapping). It can create a map of the environment with the help of a LIDAR. LIDAR is a device that is used to measure distance from the obstacles using LIDAR principle. The robot will check that whether there is an obstacle in its path and if there is an obstacle then it will change its path and then reach the final destination. Our prototype consists of a robot chassis, a Raspberry Pi as main controller, Arduino for the movement of the robot and a LIDAR. The assembled robot can be first place in an environment and then it will build a map and it will then move through the environment by avoiding obstacles.

Project Objectives

The objective is to make an autonomous warehouse robot that will be able to localize itself in a specific environment. Localization is a major issue in the warehouses and loading and unloading of the equipment is done from time to time. There are multiple techniques which are used for localization such as line following, using camera or using GPS. But none of these techniques are accurate for the autonomous movement of the robot. So, we want to use a technique that will make the robot autonomous. The robot will be able to detect obstacles by itself and will be able to figure a new path to reach the destination by avoiding the obstacles. The destination position will be communicated to the robot so that it can reach at the destination without any errors.

Project Implementation Method

The robot will move with the help of the motors. The instruction to the motors will be send through the Arduino. The operating system used is ROS (Robot Operating System). First ubuntu mate is installed on Raspberry Pi. Then ROS is installed in it. For the mapping of the environment, we are using a technique that is known as SLAM (Simultaneous Localization and Mapping). SLAM creates the map of the specific environment with the help of LIDAR. LIDAR is a device that is used for the detection of the objects. First LIDAR will detect the obstacles and the location of the obstacles will be stored with the help of the SLAM. Then Arduino will send signals to the motors and robot will move along the map by avoiding the obstacles. For the accurate movement from one place to another the starting and the destination points will be saved in the map and then these will be communicated to the robot so that it can reach the destination position by avoiding the obstacles.

Benefits of the Project

Technology is playing a vital role in helping humans work more effectively. As automation has become an integral part of business operations, it can be easily predicted that in future most of the human jobs will be done by the robots. Some of the major benefits of using robots in warehouse are lower error rates, adaptable workspace and increased equipment safety. Human errors can be costly for businesses. Businesses can lose much profit if the work has to be done again and again. The robots don’t make mistakes and they perform the work correctly in the first time which reduces the warehouse cost. By using robots, a lot of time can be saved. They don’t have to think that they should execute the command or not like in the case of humans. In a warehouse there are multiple items and some of them might be very expensive. By using robots, the safety of the equipment is ensured as sometimes a specific object is heavy.

Technical Details of Final Deliverable

The final prototype will consist of Arduino, LIDAR, Raspberry Pi as the main controller and a robot chassis. The Arduino will be used for the movement of the robot, LIDAR to detect obstacles and Raspberry Pi as the main controller. The aim is to demonstrate the concept for the localization in a warehouse using robot. The robot will be able to autonomously move from one position to another by avoiding the obstacles and selecting a new path. For the mapping of the environment SLAM will be used and the operating system that will be used is ROS.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Others

Other Industries

Core Technology

Robotics

Other Technologies

Others

Sustainable Development Goals

Industry, Innovation and Infrastructure

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com