A CARLA-based Simulation of Electrically Driven Forklifts

Fuente: arXiv
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Autori principali: Claus, David, Thielemann, Christiane, Stark, Hans-Georg
Natura: Preprint
Pubblicazione: 2025
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author Claus, David
Thielemann, Christiane
Stark, Hans-Georg
author_facet Claus, David
Thielemann, Christiane
Stark, Hans-Georg
contents This paper presents the simulation of the operation of an electric forklift fleet within an intralogistics scenario. For this purpose, the open source simulation tool CARLA is used; according to our knowledge this is a novel approach in the context of logistics simulation. First, CARLA is used to generate and visualize a realistic 3D outdoor warehouse scenario, incorporating a number of randomly moving forklifts. In a next step, intralogistics transport tasks, such as pick-and-place, are simulated for the forklift fleet, including shortest-path finding. Furthermore, the capability to play back localization data, previously recorded from a ''real'' forklift fleet, is demonstrated.This play back is done in the original recreated environment, thereby enabling the visualization of the forklifts movements. Finally, the energy consumption of the forklift trucks is simulated by integrating a physical battery model that generates the state of charge (SOC) of each truck as a function of load and activity. To demonstrate the wide range of possible applications for the CARLA simulation platform, we describe two use cases. The first deals with the problem of detecting regions with critically high traffic densities, the second with optimal placement of charging stations for the forklift trucks. Both use cases are calculated for an exemplary warehouse model.
format Preprint
id arxiv_https___arxiv_org_abs_2509_15909
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A CARLA-based Simulation of Electrically Driven Forklifts
Claus, David
Thielemann, Christiane
Stark, Hans-Georg
Computational Engineering, Finance, and Science
Robotics
This paper presents the simulation of the operation of an electric forklift fleet within an intralogistics scenario. For this purpose, the open source simulation tool CARLA is used; according to our knowledge this is a novel approach in the context of logistics simulation. First, CARLA is used to generate and visualize a realistic 3D outdoor warehouse scenario, incorporating a number of randomly moving forklifts. In a next step, intralogistics transport tasks, such as pick-and-place, are simulated for the forklift fleet, including shortest-path finding. Furthermore, the capability to play back localization data, previously recorded from a ''real'' forklift fleet, is demonstrated.This play back is done in the original recreated environment, thereby enabling the visualization of the forklifts movements. Finally, the energy consumption of the forklift trucks is simulated by integrating a physical battery model that generates the state of charge (SOC) of each truck as a function of load and activity. To demonstrate the wide range of possible applications for the CARLA simulation platform, we describe two use cases. The first deals with the problem of detecting regions with critically high traffic densities, the second with optimal placement of charging stations for the forklift trucks. Both use cases are calculated for an exemplary warehouse model.
title A CARLA-based Simulation of Electrically Driven Forklifts
topic Computational Engineering, Finance, and Science
Robotics
url https://arxiv.org/abs/2509.15909