Gorde:
| Egile Nagusiak: | , , , |
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| Formatua: | Recurso digital |
| Hizkuntza: | |
| Argitaratua: |
Zenodo
2025
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| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.5281/zenodo.17828537 |
| Etiketak: |
Etiketa erantsi
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Aurkibidea:
- <p>This paper explores the integration of Artificial Intelligence (AI) in control systems for robotics, emphasizing its <br>importance in enhancing robot autonomy, efficiency, and adaptability. The research investigates various AI algorithms <br>such as reinforcement learning, fuzzy logic, and neural networks that have been employed to design robust and adaptive <br>control systems for robotic applications. The paper also discusses challenges in implementing AI-driven systems, the <br>potential for future development, and applications across industries, including manufacturing, healthcare, and autonomous <br>vehicles.</p>