Miguel A. Machado
Industrial University of Ho Chi Minh City, Universidade Nova de Lisboa
Papers
3
Total Citations
47
H-Index
3
About
Miguel A. Machado is a leading researcher in advanced manufacturing, specializing in non-destructive testing (NDT), human–robot collaboration (HRC), and additive manufacturing. His work focuses on integrating intelligent systems into industrial processes to improve quality, automation, and efficiency. Machado’s most cited paper (28 citations) introduces an innovative eddy current testing (ECT) system for inline inspection of laser-brazed joints in automobile manufacturing, enabling autonomous detection of surface and subsurface welding defects via a robotized arm. This work has significant implications for real-time quality control in high-volume production. He also developed a deep learning framework (16 citations) that controls work sequences in collaborative human–robot assembly, reducing task time by moving beyond gesture-based interaction to more adaptive, state-aware coordination. Most recently, Machado designed a novel robotic cell for hot forging wire arc additive manufacturing (HF-WAAM), optimizing process parameters and analyzing robot vibrations to enhance part accuracy and quality. His contributions bridge NDT, robotics, and additive manufacturing, with a growing citation impact that underscores his influence on smart manufacturing and Industry 4.0 technologies.
Research Focus
Key Achievements
Top Papers
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