Use of Gaming Engines for Robotic Simulations and Computer Vision

Gaming engines have evolved beyond their traditional role in entertainment, becoming powerful tools for robotic simulations and computer vision applications. Their ability to generate high-fidelity, real-time simulations makes them valuable for developing and testing robotic systems in virtual environments. The experiment demonstrated the use of the Unreal Engine, and its computer vision plugin called UnrealCV. A realistic factory environment was created in order to test the capability of the computer vision plugin. The article evaluates UnrealCV and its features along with their potential use in future work. Data from depth cameras are visualized in the form of 3D mesh and Yolo v5s AI image recognition software was tested.

Authors

Publication Details

Journal
Acta Mechanica Slovaca
Published
2025-03-30
DOI
https://doi.org/10.21496/ams.2025.007
Primary Topic
Robot Manipulation and Learning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Use of Gaming Engines for Robotic Simulations and Computer Vision

Erik Prada, Ľubica Miková, Leo Brada, Marek Málik
Acta Mechanica Slovaca
Robot Manipulation and Learning
article

Use of Gaming Engines for Robotic Simulations and Computer Vision

Erik Prada, Ľubica Miková, Leo Brada, Marek Málik
article en

Abstract

Gaming engines have evolved beyond their traditional role in entertainment, becoming powerful tools for robotic simulations and computer vision applications. Their ability to generate high-fidelity, real-time simulations makes them valuable for developing and testing robotic systems in virtual environments. The experiment demonstrated the use of the Unreal Engine, and its computer vision plugin called UnrealCV. A realistic factory environment was created in order to test the capability of the computer vision plugin. The article evaluates UnrealCV and its features along with their potential use in future work. Data from depth cameras are visualized in the form of 3D mesh and Yolo v5s AI image recognition software was tested.

Acta Mechanica SlovacaVol. 29(1)
Openalex Percentile: Top 80%
Robot Manipulation and Learning
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.