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We are part of the Robotics and Advanced Manufacturing Program (PRyMA) del CINVESTAV Campus Saltillo CINVESTAV-Saltillo which is one of the ten centers that make up the Center for Research and Advanced Studies (CINVESTAV).
Research
Research
The convergence toward Nondestructive Evaluation 4.0 drives the application of artificial intelligence and smart sensing. These technologies transform modern inspection methods by enabling automated analysis of complex data, decentralized decision-making, and predictive structural integrity monitoring. In the laboratory, we have conducted research on:
Ultrasonic waves
Signal processing
Artificial pattern recognition
Acoustic beamforming
Ultrasonic tomography
Acoustic wave ray tracing
3D scanning with ultrasonic waves
Quality Control 4.0
Modern methods in Guided Waves
Infrastructure
Infrastructure
In our laboratory, we have modern infrastructure and high-tech ultrasonic equipment to drive scientific research and technological development.
Linear and nonlinear ultrasound: Advanced study of acoustic wave interaction with materials for microstructural characterization, early damage detection, and the evaluation of elastic nonlinearities.
Guided waves: Modeling, simulation, and experimental application for the rapid inspection of large areas in pipes, plates, and complex structures with hard-to-reach zones.
Nondestructive Testing (NDT) / Nondestructive Evaluation (NDE): Development, validation, and implementation of traditional and advanced methods oriented toward industrial structural integrity.
Automatization: Integration of automated mechatronic scanning systems for precise data acquisition and positioning control in ultrasonic testing.
Signal processing: Advanced filtering algorithms, spectral decomposition, high-resolution feature extraction, and pattern recognition focused on automated diagnosis.
Recent Publications
Recent Publications
A Baltazar, JI Aranda-Sanchez. "Ray tracing modeling of acoustic wave interaction with sharply changing interfaces using the discrete Sobel operator". Acta Mechanica Sinica 42 (8), 225641, 2026.
JA Martínez-Mata, AB Morales-Díaz, A Baltazar. "Classification of Structural Patterns in Ultrasound Tomography Using a CNN Trained on Handwriting and Backprojected Data". 2025 XXVII Robotics Mexican Congress (COMRob), 35-40, 2025.
JA Martínez-Mata, A Baltazar, A Morales-Díaz. "Anomaly Detection in Ultrasound Tomography Images Using Convolutional Neural Networks". Mexican International Conference on Artificial Intelligence, 28-39, 2025.
J Gómez, A Baltazar, I Campos, C Treesatayapun. "Data-based controller for a soft robot actuated by ultrasonic atomization with unknown dynamics and uncertainty". Robotics and Autonomous Systems, 105143, 2025.
E GUERRA-BRAVO, A BALTAZAR. "Beamforming Imaging in Cylindrical Structures Using Helicoidal Reflected SH Waves". STRUCTURAL HEALTH MONITORING 2025, 2025.
L Facundo-Flores, A Baltazar, C Treesatayapun. "Force and pose control of a hemispherical ultrasonic probe in contact with viscoelastic gelatine". Meccanica 60 (1), 39-54, 2025.
Additional Publications : GoogleScholar
La meta de nuestra línea de investigacion en el laboratorio LEND-SI es desarrollar sistemas, equipos y métodos modernos de evaluación no-destructiva (no invasiva) para usarse en ingeniería, ciencias y medicina.
La meta de nuestra línea de investigacion en el laboratorio LEND-SI es desarrollar sistemas, equipos y métodos modernos de evaluación no-destructiva (no invasiva) para usarse en ingeniería, ciencias y medicina.
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