Research Units
Robotics and Automation Unit

This unit focuses on research in the virgin olive oil extraction process through Advanced Automation, mainly based on the incorporation of sensors. The objective is to optimize the production process through the implementation of advanced techniques that measure and control the production process. For this aim, it studies the use of computer vision applied to quality control, or other sensors, such as the electronic nose for determining relationships between consumer tastes and the organoleptic properties of the Extra Virgin Olive Oil.

The Advantage of Multispectral Images in Fruit Quality Control for Extra Virgin Olive Oil Production

Martínez Gila D.M., Navarro Soto J.P., Satorres Martínez S., Gómez Ortega J. and Gámez García J.       

Food Analytical Methods. Volume 15, Issue 1, 2022, pages 75-84           

DOI: 10.1007/s12161-021-02099-w

Exploiting phase-based motion magnification for the measurement of subtle 3D deformation maps with FP + 2D-DIC               

Felipe-Sesé L., Molina-Viedma A.J., Pastor-Cintas M., López-Alba E. and Díaz F.A.

Journal of the International Measurement Confederation. Volume 195, 2022                  

DOI: 10.1016/j.measurement.2022.111122

The mechanical effect of monitoring and controlling the impregnation in the resin infusion process

Almazán-Lázaro J.-A., López-Alba E., Díaz-Garrido  F.A.               

Polymer Composites. Volume 43, Issue 4, 2022, pages 1916-1926           

DOI: 10.1002/pc.26507

Applied computer vision for composite material manufacturing by optimizing the impregnation velocity: An experimental approach              

Almazán-Lázaro J.A., López-Alba E. and Díaz-Garrido F.A.          

Journal of Manufacturing Processes. Volume  74, 2022, pages 52-62    

DOI: 10.1016/j.jmapro.2021.11.063

Comparison of lock-in correlation and a novel periodogram method for experimental multi-harmonic thermoelastic analysis              

Molina-Viedma A.J., Felipe-Sesé L., López-Alba E. and Díaz F.A.             

Mechanical Systems and Signal Processing. Volume 164, 2022                

DOI: 10.1016/j.ymssp.2021.108235

Constraint reformulations for set point optimization problems using fuzzy cognitive map models     

Garzón Casado A., Cano Marchal P., Wagner C., Gómez Ortega J. and Gámez García J.

Optimal Control Applications and Methods. Volume 43, Issue 3, 2022, pages 711-721  

DOI: 10.1002/oca.2846

Characterization of non-planar crack tip displacement fields using a differential geometry approach in combination with 3D digital image correlation     

Camacho-Reyes A., Vasco-Olmo J.M., James M.N. and Diaz F.A.            

Fatigue and Fracture of Engineering Materials and Structures. Volume 45, Issue 5, 2022, pages 1521-1536       

DOI: 10.1111/ffe.13686

Experimental evaluation of plastic wake on growing fatigue cracks from the analysis of residual displacement fields               

Vasco-Olmo J.M., Díaz F.A., Camacho-Reyes A., James N. and Antunes F.V.     

Fatigue and Fracture of Engineering Materials and Structures. Volume 45, Issue 5, 2022, pages 1494-1504       

DOI: 10.1111/ffe.13681

Evaluation of small-scale yielding boundary using digital image correlation results    

Vasco-Olmo J.M., Díaz F.A., Neto D.M., Sérgio E.R., Antunes F.V. and James M.N.        

Fatigue and Fracture of Engineering Materials and Structures. Volume 45, Issue 4, 2022, pages 1276-1291       

DOI: 10.1111/ffe.13674

Influence of Second-Order Effects on Thermoelastic Behaviour in the Proximity of Crack Tips on Titanium    

Palumbo D., De Finis R., Di Carolo F., Vasco-Olmo J., Diaz F.A. and Galietti U.    

Experimental Mechanics. Volume 62, Issue 3, 2022, pages 521-535        

DOI: 10.1007/s11340-021-00789-4

Validity of small-scale yielding regime in notched-cracked geometries            

Borges M.F., Antunes F.V., Neto D.M., Vasco-Olmo J.M., Díaz F.A. and James M.N.     

International Journal of Fatigue. Volume 154, 2022                      

DOI: 10.1016/j.ijfatigue.2021.106563

Towards a new methodology for the characterisation of crack tip fields based on a hybrid computational approach 

Camacho-Reyes A., Vasco-Olmo J.M., James M.N. and Diaz F.A.            

International Journal of Fatigue. Volume 162, 2022                        

DOI: 10.1016/j.ijfatigue.2022.106942

Enhanced low-velocity impact properties for resin film infusion-manufactured composites by flow-control approach               

Almazán-Lázaro  J.-A., López-Alba E., Schmeer S. and Díaz-Garrido F.-A.            

Polymers. Volume 13, Issue 19, 2021                    

DOI: 10.3390/polym13193431

Thermoelastic effect in modal shapes at high frequencies using infrared thermography

Molina-Viedma Á.J., Felipe-Sesé L., López-Alba E. and Díaz F.A.             

Journal of the International Measurement Confederation. Volume 176, 2021                  

DOI: 10.1016/j.measurement.2021.109180

Indentation measurement in thin plates under bending using 3d digital image correlation

Almazán-Lázaro J.A., López-Alba E., Rubio-García L. and Díaz-Garrido F.-A.       

Applied Sciences (Switzerland). Volume 11, Issue 6, 2021                           

DOI: 10.3390/app11062706

Full-field operational modal analysis of an aircraft composite panel from the dynamic response in multi-impact test               

Molina-Viedma Á., López-Alba E., Felipe-Sesé L. and Díaz F.     

Sensors. Volume 5, 2021, pages 1-14    

DOI: 10.3390/s21051602

Classification of olive fruits and oils based on their fatty acid ethyl esters content using electronic nose technology               

Martínez Gila D.M., Sanmartin C., Navarro Soto J., Mencarelli F., Gómez Ortega J. and Gámez García J.             

Journal of Food Measurement and Characterization. Volume 15, Issue 6, 2021, pages 5427-5438          

DOI: 10.1007/s11694-021-01103-5

Automatic system for the detection of defects on olive fruits in an oil mill     

Marchal P.C., Martínez S.S., Ortega J.G. and García J.G.              

Applied Sciences (Switzerland). Volume 11, Issue 17, 2021                         

DOI: 10.3390/app11178167

Prediction of fruity aroma intensity and defect presence in virgin olive oil using an electronic nose

Pablo Cano Marchal, Chiara Sanmartin, Silvia Satorres Martínez, Juan Gómez Ortega, Fabio Mencarelli and Javier Gámez García

Sensors. Volume 21, 2021

DOI: 10.3390/s21072298

Prediction of fruity aroma intensity and defect presence in virgin olive oil using an electronic nose

Pablo Cano Marchal, Chiara Sanmartin, Silvia Satorres Martínez, Juan Gómez Ortega, Fabio Mencarelli and Javier Gámez García

Sensors. Volume 21, 2021

DOI: 10.3390/s21072298

Fast tool based on electronic nose to predict olive fruit quality after harvest

Diego Manuel Martínez Gila; Javier Gámez García; Juan Gomez Ortega

Postharvest Biology and Technology. 160, 111058 (2020)

DOI: 10.1016/j.postharvbio.2019.111058

Olive fly sting detection based on computer vision

Beyaz; Martínez-Gila, Diego Manuel; Gómez-Ortega, Juan; Gámez-García, Javier

Postharvest Biology and Technology, 150: 129-136, 2019

DOI: 10.1016/j.postharvbio.2019.01.003

Object Recognition for Anthropomorphic Robots performing Tracking Tasks

Satorres Martínez, A. Sánchez García, E. Estévez, Gómez-Ortega, Juan, J. Gámez García

International Journal of Advanced Manufacturing Technology. Volumen: 104 Páginas: 1403-1412 (2019)

DOI: 10.1007/s00170-019-04058-6

Stochastic season-wide optimal production planning of virgin olive oil

Cano-Marchal, Pablo; Martínez-Gila, Diego Manuel; Gámez-García, Javier; Gómez-Ortega, Juan

Journal of Process Control, 72: 64-73 (2018)

DOI: 10.1016/j.jprocont.2018.08.001

Visualization and interpretation tool for expert systems based on fuzzy cognitive maps            

Garzón; Cano-Marchal, Pablo; Gómez-Ortega, Juan; Gámez-García, Javier

IEEE Access, 7: 6140-6150 (2018)

DOI: 10.1109/ACCESS.2018.2887355

Expert system for monitoring the malaxing state of the olive paste based on computer vision

Martínez-Gila, Diego Manuel; Cano-Marchal, Pablo; Gómez-Ortega, Juan; Gámez-García, Javier

Sensors, 18(7): 2227 (2018)

DOI: 10.3390/s18072227

ART2ool: a model-driven framework to generate target code for robot handling tasks

Estévez-Estévez, Elisabet; Sánchez-García, Alejandro; Gámez-García, Javier; Gómez-Ortega, Juan

International Journal of Advanced Manufacturing Technology, 97(1): 1195-1207 (2018)

DOI: 10.1016/j.compag.2018.09.017

A computer vision approach based on endocarp features for the identification of olive cultivars

Satorres-Martínez, Silvia; Martínez-Gila, Diego Manuel; A. Beyaz; Gómez-Ortega, Juan; Gámez-García, Javier

Computers and Electronics in Agriculture, 154: 341-346  (2018)

DOI: 10.1016/j.compag.2018.09.017

Non-invasive methodology to estimate polyphenol content in extra virgin olive oil based on stepwise multilinear regression              

Martínez-Gila, Diego Manuel; Cano-Marchal, Pablo; Gómez-Ortega, Juan; Gámez-García, Javier

Sensors, 18(4): 975 (2018)

DOI: 10.3390/s18040975

Fast and reliable determination of virgin olive oil quality by fruit inspection using computer vision

Navarro; Satorres-Martínez, Silvia; Martínez-Gila, Diego Manuel; Gómez-Ortega, Juan; Gámez-García, Javier

Sensors, 18(11): 1-13 (2018)

DOI: 10.3390/s18113826

A more effective rationalisation of fatigue crack growth rate data for various specimen geometries and stress ratios using the CJP model

Yang; J.M. Vasco-Olmo; Díaz-Garrido, Francisco Alberto; N. James

International Journal of Fatigue, 114: 189-197 (2018)

DOI: 10.1016/j.ijfatigue.2018.05.027

Modal parameters evaluation in a full-scale aircraft demonstrator under different environmental conditions using HS 3D-DIC

A.J. Molina-Viedma; López-Alba, Elías; L. Felipe-Sesé; Díaz-Garrido, Francisco Alberto; J. Rodríguez-Ahlquist; M. Iglesias-Vallejo  

Materials, 2(11): E230 (2018)

DOI:10.3390/ma11020230

Modal identification in an automotive multi-component system using HS 3D-DIC

A.J. Molina-Viedma; López-Alba, Elías; L. Felipe-Sesé; Díaz-Garrido, Francisco Alberto

Materials, 11(2): E241 (2018)

DOI: 10.3390/ma11020241

Numerical determination of plastic CTOD

Antunes; Díaz-Garrido, Francisco Alberto; J.M. Vasco-Olmo; P. Prates

 Fatigue & Fracture of Engineering Materials & Structures. 41: 2197-2207 (2018)

DOI: 10.1111/ffe.12869

Crack tip plastic zone evolution during an overload cycle and the contribution of plasticity induced shielding to crack growth rate changes

J.M. Vasco-Olmo; Díaz-Garrido, Francisco Alberto; N. James; B. Yang

Fatigue & Fracture of Engineering Materials & Structures, 41(10): 1-15 (2018)

DOI: 10.1111/ffe.12840

Investigation of effective stress intensity factors during overload fatigue cycles using photoelastic and DIC techniques

 J.M. Vasco-Olmo; B. Yang; N. James; Díaz-Garrido, Francisco Alberto

Theoretical and Applied Fracture Mechanics, 97: 73-86  (2018)

DOI: 10.1016/j.tafmec.2018.07.011

Damage methodology approach on a composite panel based on a combination of fringe projection and 2D Digital Image Correlation

Felipe-Sesé; Díaz-Garrido, Francisco Alberto

Mechanical Systems and Signal Processing, 101: 467-479 (2018)

DOI: 10.1016/j.ymssp.2017.09.002

High frequency mode shapes characterisation using Digital Image Correlation and phase-based motion magnification

A.J. Molina-Viedma; L. Felipe-Sesé; López-Alba, Elías; Díaz-Garrido, Francisco Alberto

Mechanical Systems and Signal Processing, 102: 245-264 (2018)

DOI: 10.1016/j.ymssp.2017.09.019

3D mode shapes characterisation using phase-based motion magnification in large structures using stereoscopic DIC

A.J. Molina-Viedma, L. Felipe-Sesé, López-Alba, Elías, Díaz-Garrido, Francisco Alberto

Mechanical Systems and Signal Processing, 108: 140-155 (2018)

DOI: 10.1016/j.ymssp.2018.02.006

Research and development of advanced sensorial maps for the optimization of virgin olive oil elaboration process

Entidad Financiadora: Concesión de ayudas a «Proyectos de I+D+i», en el marco del Programa Estatal de Generación de Conocimiento y Fortalecimiento Científico y Tecnológico del Sistema de I+D+i y del Programa Estatal de I+D+i Orientada a los Retos de la Sociedad, del Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020

Referencia: PID2019-110291RB-I00

Investigadores principales: Javier Gámez García y Juan Gómez Ortega

Año de inicio: 2019

Presupuesto: 45.980,00 €

Desarrollo de una Metodología Experimental para el análisis termo-modal de elementos industriales multicomponente en condiciones de servicio

Entidad financiadora: Ayudas a la I+D+i, en el ámbito del Plan Andaluz de Investigación, Desarrollo e Innovación, PAIDI

Referencia: P20_00312

Investigador principal: Francisco Alberto Díaz Garrido

Año de inicio: 2021

Presupuesto: 82.262,50 €

Evaluación experimental de la influencia de la temperatura en el comportamiento modal de elementos industriales mediante la integración de campos obtenidos con métodos ópticos

Entidad financiadora: Concesión de ayudas a «Proyectos de I+D+i», en el marco del Programa Estatal de Generación de Conocimiento y Fortalecimiento Científico y Tecnológico del Sistema de I+D+i y del Programa Estatal de I+D+i Orientada a los Retos de la Sociedad. Ministerio de Ciencia e Innovación

Referencia: PID2020-119107RA-I00

Investigador principal: Francisco Alberto Díaz Garrido

Año de inicio: 2021

Presupuesto: 66.792,00 €

Evaluación experimental de la influencia de la plasticidad como mecanismo de retardo en el crecimiento de grieta a fatiga empleando métodos ópticos de campo completo (EIPLAS)

Entidad financiadora: Consejería de Transformación Económica, Industria, Consejería de transformación económica, industria, conocimiento y Universidades de la Junta de Andalucía

Investigador principal: Francisco Alberto Díaz Garrido

Año de inicio: 2021

Presupuesto: 49.422,00 €

Desarrollo e interconexión de sistemas inteligentes, basados en conceptos 4.0 e integración sensorial, para la mejora sustancial de la eficiencia del proceso de producción de AOV

Entidad Financiadora: Ayudas a la I+D+i, en el ámbito del Plan Andaluz de Investigación, Desarrollo e Innovación, PAIDI

Referencia: P18‐TP‐4133

Investigadores principales: Javier Gámez García y Juan Gómez Ortega

Año de inicio: 2020

Presupuesto: 46.000,00 €

Desarrollo de suplementos alimenticios a partir de los productos del olivar dirigidos a la protección cardiovascular humana (CARDIOLIVE)

Entidad Financiadora: FEDER-INTERCONECTA

Referencia: ITC-20151142

Investigador principal: Javier Gámez García

Año de inicio: 2018

Presupuesto: 195.000,00 €

EVOO extraction scale oil mill (500 kg/hour)

Sensory instrumentation:

• Artificial vision: different types of cameras (visible spectrum, IR, ultraviolet), lighting systems, lenses, accessories (€200k)
• NIR sensors: commercial equipment and own design
• Laser measurement systems (distance and 3D recognition) and ultrasound
• Others: electronic noses, microscopes (SCAI)…

Data collection systems (DAQ and Dataloggers)

Trading and research robots

Tractor with autonomous guidance possibilities

Electronic design and simulation software. Electronic prototyping systems (electronic board manufacturing machine)

Mechanical design software (3D). Small workshop for the assembly of mechatronic prototypes (machining center, 3D printer...)

Software development tools