[Q1 2024] Martin, F., Soriano-Salvador, E., Guerrero, J.M., Guardiola G., Manzanares, J.C., Rodríguez-Lera, F.J. (2025). Towards a Robotic Intrusion Prevention System: Combining Security and Safety in Cognitive Social Robots. Robotics and Autonomous Systems. Volume 190, pp. 104959. DOI: 10.1016/j.robot.2025.104959
[Q2 2024] Pérez-Rodríguez, R., Guerrero, J.M., Peña-Narvaez, J.D., Moreno, F.M., Martin, F. (2025). Dynamic Delegation of Behavior Trees to Enhance Cooperation in Robot Teams. IEEE Access. Volume 13, pp. 157780-157788. DOI: 10.1109/ACCESS.2025.3605797
Rodríguez-Lera, F.J., Pita, Y., Fernandez, L., Sobrín, D., González, I., Guerrero, J.M. (2025). Aportes para el cumplimiento del Reglamento (UE) 2024/1689 en robótica y sistemas autónomos. X Jornadas Nacionales de Investigación en Ciberseguridad, pp. 34-41. ISBN: 978-84-10169-61-6
Martin, F., Moreno, F.M., Manzanares, J.C., Guerrero, J.M., Cely J., Aguado, E., Romero, F.J. (2025). EasyNav Simple Stack: a minimum set of plugins for a reliable navigation. Proceedings of the XXV Workshop of Physical Agents, WAF 2025, pp. X. ISBN: X
[Q2] Martin, F., Guerrero, J.M., Pérez-Rodríguez, R., Peña-Narvaez, J.D., Gómez-Jacinto, A.A. (2024). Open source robot localization for nonplanar environments. Journal of Field Robotics. Volume 41, Issue 6, pp. 1922-1939. DOI: 10.1002/rob.22353
[Q3] González, I., Peña-Narvaez, J.D., Guerrero, J.M., Pérez-Rodríguez, R., González, A., Rodríguez-Lera, F.J. (2024). Robocup 2023-2024 ROSbag Dataset. Data in Brief. Volume 57, pp. 111086. DOI: 10.1016/j.dib.2024.111086
Martín, F., Pérez-Rodriguez, R., Peña-Narvaez, J.D., Rodríguez-Lera, F.J., Guerrero, J.M. (2024). Cascade LifeCycle: A Convenient Building Block for Efficient Robot Software Architectures. 7th Iberian Robotics Conference (ROBOT), Madrid, Spain, 2024, pp. 1-7. DOI: 10.1109/ROBOT61475.2024.10796947
García A.A., Peña-Narvaez, J.D., Pérez-Rodríguez, R., Guerrero, J.M., Martín, F., Manzanares, J.C. (2024). Impact of Real time on Active Perception Systems applied to Social Robotics. Proceedings of the XXIV Workshop of Physical Agents, WAF 2024, pp. 69-85. ISBN: 978-84-09-63822-2
[Q2] Emmi, L., Fernández, R., Guerrero, J.M. (2023). Editorial: Robotics for smart farms. Frontiers in Robotics and AI. Volume 9:1113440. DOI: 10.3389/frobt.2022.1113440
[Q3] Peña-Narvaez, J.D., Martin, F., Guerrero, J.M., Pérez-Rodríguez, R. (2023). A visual questioning answering approach to enhance robot localization in indoor environments. Frontiers in Neurorobotics. Volume 17, pp. 1290584. DOI: 10.3389/fnbot.2023.1290584
[CLASS 1 (A+) CORE A*] García, A.A., Martín, F., Guerrero, J.M., Rodríguez-Lera, F.J., Matellán, V. (2023). Portable Multi-Hypothesis Monte Carlo Localization for Mobile Robots. 2023 IEEE International Conference on Robotics and Automation (ICRA), London, United Kingdom, pp. 1933-1939. DOI: 10.1109/ICRA48891.2023.10160957
Martín, F., Guerrero, J.M., Gómez-Jacinto, A.A., Peña-Narvaez, J.D., Manzanares, J.C. (2023). MOCAP4ROS2: An Open Source Framework for Motion Capture Systems in Robotics. WAF 2023. ISBN: 978-84-09-57059-1
[Q2] Ginés, J., Martín, F., Rodríguez-Lera, F.J., Guerrero, J.M., Matellán, V. (2022). Impact of decision-making system in social navigation. Multimedia Tools and Applications. Volume 81 (3), pp. 3459–3481. DOI: 10.1007/s11042-021-11454-2
[CLASS 3 (B-) CORE C] Martín, F., Guerrero, J.M., García, A.A., Rodríguez, F.J., Matellán, V. (2022). MOCAP4ROS2: An Open Source Framework for Motion Capture Systems in Robotics. OpenSym 2022: The 18th International Symposium on Open Collaboration, September 2022, Article No.: 6, pp. 1–3, DOI: 10.1145/3555051.3555076
[Q2]* Martín, F., González, F., Guerrero, J.M., Fernández, M., Ginés, J. (2021). Semantic 3D Mapping from Deep Image Segmentation. Applied Sciences. Volume 11, no. 4: 1953. DOI: 10.3390/app11041953
Ginés, J., Martín, F., Rodríguez-Lera, F.J., Guerrero, J.M., Matellán, V. (2021). Defining Adaptive Proxemic Zones for Activity-Aware Navigation. In: Bergasa L.M., Ocaña M., Barea R., López-Guillén E., Revenga P. (eds) Advances in Physical Agents II. WAF 2020. Advances in Intelligent Systems and Computing, vol 1285. Springer, Cham. DOI: 10.1007/978-3-030-62579-5_1
Acosta-Silva, C., Delgado, A., Guerrero, J.M., Flix, J., Hernández, J.M., Pérez-Calero, A., Rodriguez, F.J., Gómez-Pulgar, J. (2020). Lightweight site federation for CMS support. 24th International Conference on Computing in High-Energy and Nuclear Physics. EPJ Web of Conferences. DOI: 10.1051/epjconf/202024503013
[Q2] Guerrero, J.M., Muñoz, A., Santos, M., Pajares, G. (2019). A new Concentric Circles Detection method for Object Detection applied to Radar Images. The Journal of Navigation. Volume 72, no. 4, pp. 1070-1088. DOI: 10.1017/S0373463318001169
[Q1] García-Santillán, I.D., Guerrero, J.M., Montalvo, M., Pajares, G. (2018). Curved and straight crop row detection by accumulation of green pixels from images in maize fields. Precision Agriculture. Volume 19, pp. 1-24. DOI: 10.1007/s11119-016-9494-1
[Q1] Guerrero, J.M., Ruz, J.J., Pajares. G. (2017). Crop rows and weeds detection in maize fields applying a computer vision system based on geometry. Computers and Electronics in Agriculture. Volume 142, pp. 461-472. DOI: 10.1016/j.compag.2017.09.028
[Q1] García-Santillán, I.D., Montalvo, M., Guerrero, J.M., Pajares, G. (2017). Automatic detection of curved and straight crop rows from images in maize fields. Biosystems Engineering. Volume 156, pp. 61-79. DOI: 10.1016/j.biosystemseng.2017.01.013
[Q4]* Pajares G., García-Santillán, I.D., Campos, Y., Montalvo, M., Guerrero, J.M., Emmi, L., Romeo, J., Guijarro, M., Gonzalez-de-Santos, P. (2016). Machine-vision systems selection for agricultural vehicles: A guide. Journal of Imaging. Volume 2 (4), Article No.: 34. DOI: 10.3390/jimaging2040034
[CORE C] Montalvo, M., Guijarro, M., Guerrero, J.M., Ribeiro, A. (2016). Identification of plant textures in agricultural images by principal component analysis. International Conference on Hybrid Artificial Intelligence Systems, pp. 391-401. DOI: 10.1007/978-3-319-32034-2_33
Herrera, P.J., Guijarro, M., Guerrero, J.M. (2016). Chapter Book 4: Operaciones de transformación de imágenes. Conceptos y Métodos en Visión por Computador, pp. 61-76. ISBN: 978-84-608-8933-5
Ph.D. in Computer Science. (2015). Sistema de visión para agricultura de precisión: identificación en tiempo real de líneas de cultivo y malas hierbas en campos de maíz (Vision system for precision agriculture: real-time identification of crop rows and weeds in corn fields). Complutense University of Madrid. DOI: 10.13140/RG.2.1.3737.8720 (direct link)
Guerrero, J.M., Montalvo, M., Guijarro, M., Romeo, J., Pajares, G. (2014). Comparison of two new automatic techniques for exposure time control in agricultural images. Proceedings of the second International Conference on Robotics and associated High-technologies and Equipment for Agriculture and forestry, pp. 177-185. Madrid, Spain. ISBN: 978-84-697-0248-2
Montalvo, M., Guerrero, J.M., Guijarro, M., Romeo, J., Pajares, G. (2014). Exposure time control in agricultural images using a color adaptive method. Proceedings of the second International Conference on Robotics and associated High-technologies and Equipment for Agriculture and forestry, pp. 37-48. Madrid, Spain. ISBN: 978-84-697-0248-2
Romeo, J., Benítez, A., Guerrero, J.M., Montalvo, M., Pajares, G. (2014). Tractor guidance in maize fields using computer vision and geometry. Proceedings of the second International Conference on Robotics and associated High-technologies and Equipment for Agriculture and forestry, pp. 257-265. Madrid, Spain. ISBN: 978-84-697-0248-2
[Q1] Guerrero, J.M., Guijarro, M., Montalvo, M., Romeo, J., Emmi, L., Ribeiro, A., Pajares, G. (2013). Automatic expert system based on images for accuracy crop row detection in maize fields. Expert Systems with Applications. Volume 40, Issue 2, pp. 656-664. DOI: 10.1016/j.eswa.2012.07.073
[Q1] Montalvo, M., Guerrero, J.M., Romeo, J., Emmi, L., Guijarro, M., Pajares, G. (2013). Automatic expert system for weeds/crops identification in images from maize fields. Expert Systems with Applications. Volume 40, Issue 1, pp. 75-82. DOI: 10.1016/j.eswa.2012.07.034
[Q1] Romeo, J., Pajares, G., Montalvo, M., Guerrero, J.M., Guijarro, M., de la Cruz, J.M. (2013). A new Expert System for greenness identification in agricultural images. Expert Systems with Applications. Volume 40, Issue 6, pp. 2275-2286. DOI: 10.1016/j.eswa.2012.10.033
[Q1]* Romeo, J., Guerrero, J.M., Montalvo, M., Emmi, L., Guijarro, M., Gonzalez-de-Santos, P., Pajares, G. (2013). Camera sensor arrangement for crop/weed detection accuracy in agronomic images. Sensors. Volume 13, no. 4, pp. 4348-4366. DOI: 10.3390/s130404348
[CLASS 3 (B-) CORE B] Montalvo, M., Guerrero, J.M., Romeo, J., Guijarro, M., de la Cruz, J.M., Pajares, G. (2013). Acquisition of agronomic images with sufficient quality by automatic exposure time control and histogram matching. International Conference on Advanced Concepts for Intelligent Vision Systems, pp. 37-48. DOI: 10.1007/978-3-319-02895-8_4
Guijarro, M., Guerrero, J.M., Montalvo, M., Romeo, J., Pajares, G. (2013). A new approach to solve image thresholding in precision agriculture. 9th European Conference on Precision Agriculture, Lleida, Catalonia, Spain. ISBN: 978-84-695-8176-6
[Q1] Romeo, J., Pajares, G., Montalvo, M., Guerrero, J.M., Guijarro, M., Ribeiro, A. (2012). Crop row detection in maize fields inspired on the human visual perception. The Scientific World Journal 2012, Article ID 484390, 10 pages. DOI: 10.1100/2012/484390
[Q2] Guerrero, J.M., Pajares, G., Montalvo, M., Romeo, J., Guijarro, M. (2012). Support vector machines for crop/weeds identification in maize fields. Expert Systems with Applications. Volume 39, Issue 12, pp. 11149-11155. DOI: 10.1016/j.eswa.2012.03.040
[Q2] Montalvo, M., Pajares, G., Guerrero, J.M., Romeo, J., Guijarro, M., Ribeiro, A., Ruz, J.J., de la Cruz, J.M. (2012). Automatic detection of crop rows in maize fields with high weeds pressure. Expert Systems with Applications. Volume 39, Issue 15, pp. 11889-11897. DOI: 10.1016/j.eswa.2012.02.117
Pajares, G., Guerrero, J.M., Romeo, J., Sánchez-Benítez, D., Montalvo, M., Herrera, P.J., Guijarro, M., de la Cruz, J.M., Ruz, J.J. (2012). Deterministic Simulated Annealing applied to Computer Vision tasks. Journal of High Performance Computing. Volume 2, pp. 20-23. DOI: 10.9735/2230-7192
Guerrero, J.M., Romeo, J., Emmi, L., Montalvo, M., Guijarro, M., Pajares, G., González-de-Santos, P. (2012). Influence of the vision system pitch angle on crop and weeds detection accuracy. Proceedings of the first International Conference on Robotics and associated High-technologies and Equipment for Agriculture (RHEA-2012), pp. 319-324. Pisa, Italy. ISBN: 978-88-6741-021-7
Guerrero, J.M., Montalvo, M., Romeo, J., Oliva, D., Guijarro, M., Pajares, G. (2012). Detection of images with high CCD charge level due to indirect sunlight in maize fields. International Conference of Agricultural Engineering (CIGR-Ageng2012). Valencia, Spain. ISBN: 978-84-615-9928-8
Romeo, J., Oliva, D., Guerrero, J.M., Montalvo, M., Guijarro, M., Pajares, G. (2012). Plants Discrimination in Maize Fields Applying Human Perception to Digital Images. International Conference of Agricultural Engineering (CIGR-Ageng2012). Valencia, Spain. ISBN: 978-84-615-9928-8
Montalvo, M., Guerrero, J.M., Romeo, J., Oliva, D., Guijarro, M., Pajares, G. (2012). Unsupervised learning for crop/weeds discrimination in maize fields with high weed densities. International Conference of Agricultural Engineering (CIGR-Ageng2012). Valencia, Spain. ISBN: 978-84-615-9928-8
Guerrero, J.M., Guijarro, M., Pajares, G. (2011). Técnicas de procesamiento de imágenes estereoscópicas. Enlaces 13. Revista del CES Felipe II. ISBN: 1695-8543
Montalvo, M., Guerrero, J.M., Guijarro, M., Romeo, J., Herrera, P.J., Ribeiro, A., Pajares, G. (2011). Camera System geometry for site specific treatment in precision agriculture. Proceedings of the first RHEA Workshop (G. Rabatel and P. González de Santos), September 9. Montpellier, France. ISBN: 978-84-615-6184-1
M.Sc. in Computer Science, Industrial Specialization. (2010). Técnicas de procesamiento de imágenes estereoscópicas (Stereoscopic image processing techniques). Complutense University of Madrid. (link)