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The Impact of Generative Models on Robotic Innovation: A Survey Study Cover

The Impact of Generative Models on Robotic Innovation: A Survey Study

Journal of Automation, Mobile Robotics and Intelligent Systems
Volume 20 (2026): Issue 2 (June 2026)
By:   
Open Access
|Jun 2026
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DOI: https://doi.org/10.14313/jamris-2026-024 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
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Language: English
Page range: 106 - 117
Submitted on: Mar 24, 2024
Accepted on: Oct 1, 2024
Published on: Jun 22, 2026
Published by: Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Generative Models,
Robotic Innovation,
Artificial Intelligence,
Autonomous Systems,
Machine Learning,
Computational Efficiency,
Data Bias,
Ethical Implications,
Interdisciplinary Collaboration,
Future Technologies
Related subjects:
Computer sciences,
Artificial intelligence,
Engineering,
Electrical engineering,
Control engineering, metrology and testing,
Mechanical engineering,
Fundamentals of mechanical engineering

© 2026 Mohammed Belghachi, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 20 (2026): Issue 2 (June 2026)
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