Javier Maldonado-Romo
Papers
4
Total Citations
64
H-Index
4
About
Javier Maldonado-Romo’s research sits at the intersection of inclusive technology, advanced manufacturing, and artificial intelligence, with a focus on bridging the gap between human capabilities and Industry 4.0 systems. His most cited work, a systematic review on the lack of verified inclusive technology for workers with disabilities in Industry 4.0, has garnered 26 citations and highlights a critical gap in social sustainability within digital manufacturing. He has also developed a virtual reality and AI-based framework for advanced digital manufacturing and nearshoring opportunities in Mexico (20 citations), addressing the educational void for engineers and decision-makers in this growing sector. Maldonado-Romo’s innovative contributions extend to robotics, where he has pioneered path-planning generators using Generative Adversarial Networks (GANs) to enable interoperability between physical and virtual environments, reducing sensor costs while maintaining high performance. His work on domain change through GANs (10 citations) and real-virtual environment connectivity (8 citations) demonstrates a novel approach to robotic perception and planning. Through these contributions, Maldonado-Romo is shaping a more accessible, efficient, and socially sustainable future for manufacturing and robotics.
Research Focus
Key Achievements
Top Papers
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