Developing a Robust and Accurate Self Localization Algorithm for AGV Under Varying Environmental Conditions (MSc Research Project)

Developing a SLAM-based robust and accurate self-localization algorithm for varying environmental conditions to navigate an AGV in a production floor using a camera and a lidar sensor. 

Objectives are

 •Develop a robust and accurate self-localization method under varying environmental and floor conditions

 •Eliminating the dependency of light conditions on the accuracy of the SLAM algorithm •Do the self-localization within a short calculation cycle

 •Improving transportation efficiency by finding the best path on the production floor and recognizing objects & obstacles