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Paulo Padrao

As seen in: MDPI, América Economía
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Articles

[2507.16941] Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection

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By Tero Kaarlela, Jose Fuentes, José Fuentes, Paulo Padrao, Alain Duran
| arxiv.org
arXiv:2507.16941 (cs) View PDF HTML (experimental) Subjects: Robotics (cs.RO) Cite as: arXiv:2507.16941 [cs.RO] (or arXiv:2507.16941v1 [cs.RO] for this version) https://doi.org/10.48550/arXiv.2507.16941 Submission history From: Tero Kaarlela [ view email] [v1] Tue, 22 Jul 2025 18:24:23 UTC (1,085 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai...
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Towards Metaverse: Utilizing Extended Reality and Digital Twins to Control Robotic Systems

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By Tero Kaarlela, Tomi Pitkäaho, Sakari Pieskä, Paulo Padrao
| MDPI
1. Introduction Digitalization shapes how we learn, work, and entertain ourselves by providing the tools for location- and time-independent presence and control of things. Gaining new knowledge, learning new skills, playing games, socializing with others, and controlling production systems is possible from anywhere by using everyday mobile devices. Advancements in digitalization and the availability of mobile devices have grown a new generation of digital natives [1,2].
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Digital Twins Utilizing XR-Technology as Robotic Training Tools

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By Paulo Padrao, Tomi Pitkäaho, Tero Kaarlela, Sakari Pieskä, Leonardo Bobadilla
| MDPI
This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by Tero Kaarlela 1,*, Paulo Padrao 2, Tomi Pitkäaho 1, Sakari Pieskä 1 and Leonardo Bobadilla 2 1 Department of Industrial Management, Centria University of Applied Sciences, 84100 Ylivieska, Finland 2 Knight Foundation School of Computing and Information Sciences, Florida International University, Miami, FL 33199, USA * Author to whom correspondence should be addressed.
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