MazeGen: A Low-Code Framework for Bootstrapping Robotic Navigation Scenarios for Smart Manufacturing Contexts

MazeGen: A Low-Code Framework for Bootstrapping Robotic Navigation Scenarios for Smart Manufacturing Contexts

In this research, we describe the MazeGen framework (as a maze generator), which generates navigation scenarios using Grammatical Evolution for robots or drones to navigate. The maze generator uses evolutionary algorithms to create robotic navigation scenarios with different semantic levels along a...

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Bibliographic Details
Main Authors: Ivan Hugo Guevara, Tiziana Margaria
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Electronics
Subjects:
smart manufacturing
machine learning
evolutionary computing
navigation scenarios
Online Access:https://www.mdpi.com/2079-9292/12/9/2058

Internet

https://www.mdpi.com/2079-9292/12/9/2058

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