SmartTrolley: An Experimental Mobile Platform for Indoor Localization in Warehouses

Abstract

Warehouses and industrial sites are getting more and more interest in automating their workflow; in such an environment, a robust localization method is required to accomplish safe navigation indoors. One widely used scheme is the usage of custom AGVs and dedicated infrastructures to automate moving goods within the warehouse; however, such a solution needs to modify the infrastructure or to make custom robots that fit the existing infrastructure, which requires an important investment. In this paper, we present and validate the SmartTrolley, a generic, modular, and scalable experimental platform for usage in warehouses and industrial sites; able to localize itself in the environment using a scan matching and EKF based indoor Simultaneous Localization and Mapping (SLAM) algorithm.

Publication
In The 3rd International Conference on Robotics, Control and Automation Engineering (RCAE 2020)

Note

This work is part of an industrial project, the source code is not shared. For any details about implementation or results please contact me.

Abdelhak Bougouffa
Abdelhak Bougouffa
Ph.D. Student | R&D Engineer

My research interests include robotics, state estimation, data fusion, AI, and embedded systems.

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