DR. REYES RIOS-CABRERA
Profesor InvestigadorPUBLICACIONES
Para ver las publicaciones de todo Robótica y Manufactura Avanzada, ver: Publicaciones RYMA
Rico-Fernandez, Maria; Rios-Cabrera, Reyes; Castelan, Mario; Guerrero-Reyes, Hector; Juarez-Maldonado, Antonio A contextualized approach for segmentation of foliage in different crop species Artículo de revista En: Computers and Electronics in Agriculture, vol. 156, pp. 378-386, 2019, ISSN: 0168-1699. Lopez-Juarez, Ismael; Rios-Cabrera, Reyes; Hsieh, S J; Howarth, M. A hybrid non-invasive method for internal/external quality assessment of potatoes Artículo de revista En: European Food Research and Technology, 2017, ISSN: 1438-2385. Aviles-Viñas, Jaime F; Rios-Cabrera, Reyes; Lopez-Juarez, Ismael On-line learning of welding bead geometry in industrial robots Artículo de revista En: The International Journal of Advanced Manufacturing Technology, vol. 83, no 1, pp. 217–231, 2016, ISSN: 1433-3015. Rios-Cabrera, Reyes; Morales-Diaz, America B.; Aviles-Viñas, Jaime F; Lopez-Juarez, Ismael Robotic GMAW online learning: issues and experiments Artículo de revista En: The International Journal of Advanced Manufacturing Technology, vol. 87, no 5, pp. 2113–2134, 2016, ISSN: 1433-3015. Benitez Perez, H.; Lopez-Juarez, Ismael; Garza-Alanis, P. C.; Rios-Cabrera, Reyes; Duran Chavesti, A. Reconfiguration Distributed Objects in an Intelligent Manufacturing Cell Artículo de revista En: IEEE Latin America Transactions, vol. 14, no 1, pp. 136-146, 2016, ISSN: 1548-0992. Mirelez-Delgado, Flabio; Morales-Diaz, America B.; Rios-Cabrera, Reyes; Gutierrez-Flores, Hugo Towards intelligent robotic agents for cooperative tasks Actas de congresos 2016. Mirelez-Delgado, Flabio; Morales-Diaz, America B.; Rios-Cabrera, Reyes Kinematic control for an omnidirectional mobile manipulator Actas de congresos 2016. Aviles-Viñas, Jaime F; Lopez-Juarez, Ismael; Rios-Cabrera, Reyes Acquisition of welding skills in industrial robots Artículo de revista En: Industrial Robot: An International Journal, vol. 42, no 2, pp. 156-166, 2015. Navarro-Gonzalez, Jose Luis; Lopez-Juarez, Ismael; Ordaz-Hernandez, Keny; Rios-Cabrera, Reyes On-line incremental learning for unknown conditions during assembly operations with industrial robots Artículo de revista En: Evolving Systems, vol. 6, no 2, pp. 101–114, 2015, ISSN: 1868-6486. Navarro-Gonzalez, Jose Luis; Lopez-Juarez, Ismael; Rios-Cabrera, Reyes; Ordaz-Hernandez, Keny On-line knowledge acquisition and enhancement in robotic assembly tasks Artículo de revista En: Robotics and Computer-Integrated Manufacturing, vol. 33, pp. 78 - 89, 2015, ISSN: 0736-5845, (Special Issue on Knowledge Driven Robotics and Manufacturing). Mirelez-Delgado, Flabio; Morales-Diaz, America B.; Rios-Cabrera, Reyes; Perez-Villeda, Hector Manuel Control Servovisual de un Kuka youBot para la manipulacion y traslado de objetos Proceedings Article En: 2015. Rios-Cabrera, Reyes; Tuytelaars, Tinne Boosting Masked Dominant Orientation Templates for Efficient Object Detection Artículo de revista En: Comput. Vis. Image Underst., vol. 120, pp. 103–116, 2014, ISSN: 1077-3142. Rios-Cabrera, Reyes; Tuytelaars, Tinne Discriminatively Trained Templates for 3D Object Detection: A Real Time Scalable Approach Proceedings Article En: The IEEE International Conference on Computer Vision (ICCV), 2013. Rios-Cabrera, Reyes; Tuytelaars, Tinne Discriminatively Trained Templates for 3D Object Detection: A Real Time Scalable Approach. Proceedings Article En: ICCV, pp. 2048-2055, IEEE Computer Society, 2013, ISBN: 978-1-4799-2839-2. Rios-Cabrera, Reyes; Tuytelaars, Tinne; Van Gool, Luc J. Efficient multi-camera vehicle detection, tracking, and identification in a tunnel surveillance application Artículo de revista En: Computer Vision and Image Understanding, vol. 116, no 6, pp. 742 - 753, 2012, ISSN: 1077-3142. Rios-Cabrera, Reyes; Tuytelaars, Tinne; Van Gool, Luc J. Efficient multi-camera detection, tracking, and identification using a shared set of haar-features. Proceedings Article En: CVPR, pp. 65-71, IEEE Computer Society, 2011, ISBN: 978-1-4577-0394-2.2019
Artículos de revista
@article{Rico-Fernandez2019,
title = {A contextualized approach for segmentation of foliage in different crop species},
author = {Rico-Fernandez, Maria and Rios-Cabrera, Reyes and Castelan, Mario and Guerrero-Reyes, Hector and Juarez-Maldonado, Antonio},
editor = {Elsevier},
url = {https://doi.org/10.1016/j.compag.2018.11.033},
issn = {0168-1699},
year = {2019},
date = {2019-01-01},
journal = {Computers and Electronics in Agriculture},
volume = {156},
pages = {378-386},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2017
Artículos de revista
@article{Lopez-Juarez2017,
title = {A hybrid non-invasive method for internal/external quality assessment of potatoes},
author = {Lopez-Juarez, Ismael and Rios-Cabrera, Reyes and Hsieh,S J and Howarth, M .},
url = {https://doi.org/10.1007/s00217-017-2936-9},
doi = {10.1007/s00217-017-2936-9},
issn = {1438-2385},
year = {2017},
date = {2017-07-11},
journal = {European Food Research and Technology},
abstract = {Consumers purchase fruits and vegetables based on its quality, which can be defined as a degree of excellence which is the result of a combination of characteristics, attributes and properties that have significance for market acceptability. In this paper, a novel hybrid active imaging methodology for potato quality inspection that uses an optical colour camera and an infrared thermal camera is presented. The methodology employs an artificial neural network (ANN) that uses quality data composed by two descriptors as input. The ANN works as a feature classifier so that its output is the potato quality grade. The input vector contains information related to external characteristics, such as shape, weight, length and width. Internal characteristics are also accounted for in the input vector in the form of excessive sugar content. The extra sugar content of the potato is an important problem for potato growers and potato chip manufacturers. Extra sugar content could result in diseases or wounds in the potato tuber. In general, potato tubers with low sugar content are considered as having a higher quality. The validation of the methodology was made through experimentation which consisted in fusing both, external and internal characteristics in the input vector to the ANN for an overall quality classification. Results using internal data as obtained from an infrared camera and fused with optical external parameters demonstrated the feasibility of the method since the prediction accuracy increased during potato grading.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2016
Artículos de revista
@article{Aviles-Vi\~{n}as2016b,
title = {On-line learning of welding bead geometry in industrial robots},
author = {Aviles-Vi\~{n}as, Jaime F and Rios-Cabrera, Reyes and Lopez-Juarez, Ismael },
url = {http://dx.doi.org/10.1007/s00170-015-7422-6},
doi = {10.1007/s00170-015-7422-6},
issn = {1433-3015},
year = {2016},
date = {2016-01-01},
journal = {The International Journal of Advanced Manufacturing Technology},
volume = {83},
number = {1},
pages = {217--231},
abstract = {In this paper, we propose an architecture based on an artificial neural network (ANN), to learn welding skills automatically in industrial robots. With the aid of an optic camera and a laser-based sensor, the bead geometry (width and height) is measured. We propose a real-time computer vision algorithm to extract training patterns in order to acquire knowledge to later predict specific geometries. The proposal is implemented and tested in an industrial KUKA KR16 robot and a GMAW type machine within a manufacturing cell. Several data analysis are described as well as off-line and on-line training, learning strategies, and testing experimentation. It is demonstrated during our experiments that, after learning the skill, the robot is able to produce the requested bead geometry even without any knowledge about the welding parameters such as arc voltage and current. We implemented an on-line learning test, where the whole experiments and learning process take only about 4 min. Using this knowledge later, we obtained up to 95 % accuracy in prediction.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
@article{Rios-Cabrera2016,
title = {Robotic GMAW online learning: issues and experiments},
author = {Rios-Cabrera, Reyes and Morales-Diaz, America B. and Aviles-Vi\~{n}as, Jaime F and Lopez-Juarez, Ismael },
url = {http://dx.doi.org/10.1007/s00170-016-8618-0},
doi = {10.1007/s00170-016-8618-0},
issn = {1433-3015},
year = {2016},
date = {2016-01-01},
journal = {The International Journal of Advanced Manufacturing Technology},
volume = {87},
number = {5},
pages = {2113--2134},
abstract = {This paper presents three main contributions: (i) an experimental analysis of variables, using well-defined statistical patterns applied to the main parameters of the welding process. (ii) An on-line/off-line learning and testing method, showing that robots can acquire a useful knowledge base without human intervention to learn and reproduce bead geometries. And finally, (iii) an on-line testing analysis including penetration of the bead, that is used to train an artificial neural network (ANN). For the experiments, an optic camera was used in order to measure bead geometry (width and height). Also real-time computer vision algorithms were implemented to extract training patterns. The proposal was carried out using an industrial KUKA robot and a GMAW type machine inside a manufacturing cell. We present expermental analysis that show different issues and solutions to build an industrial adaptive system for the robotics welding process.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
@article{7430073,
title = {Reconfiguration Distributed Objects in an Intelligent Manufacturing Cell},
author = {Benitez Perez, H. and Lopez-Juarez, Ismael and Garza-Alanis, P. C. and Rios-Cabrera, Reyes and Duran Chavesti, A.},
doi = {10.1109/TLA.2016.7430073},
issn = {1548-0992},
year = {2016},
date = {2016-01-01},
journal = {IEEE Latin America Transactions},
volume = {14},
number = {1},
pages = {136-146},
abstract = {A manufacture system with the abilities of easy reconfiguration and highly scalability becomes flexible, dynamic and open to the use of software technologies. To give these abilities to a manufacture cell formed of three industrial robots and two conveyors, a middleware based on the programming standard Common Object Request Broker Architecture (CORA) was developed, thus creating a distributed manufacture cell, allowing us to have a real production with different final products. In order to optimize the production times of the different products to be manufactured, a product scheduler was developed using the algorithm Earlies Deadline First (EDF) and the support algorithm Deferrable Server (DS). Given that failures may occur on any of the specialized modules of the manufacture system, the self reconfiguration of the manufacture system is something very desirable. This article propose an algorithm to solve this problem, the algorithm identifies the failures in relation to the time it takes the system to make a product, then makes a modification on the working speed of the plant elements of the specialized modules.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Actas de congresos
@proceedings{Mirelez-Delgado2016,
title = {Towards intelligent robotic agents for cooperative tasks},
author = {Mirelez-Delgado, Flabio and Morales-Diaz, America B. and Rios-Cabrera, Reyes and Gutierrez-Flores, Hugo},
year = {2016},
date = {2016-06-06},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
@proceedings{Mirelez-Delgado2016,
title = {Kinematic control for an omnidirectional mobile manipulator},
author = {Mirelez-Delgado, Flabio and Morales-Diaz, America B. and Rios-Cabrera, Reyes},
year = {2016},
date = {2016-06-06},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
2015
Artículos de revista
@article{doi:10.1108/IR-09-2014-0395,
title = {Acquisition of welding skills in industrial robots},
author = {Aviles-Vi\~{n}as, Jaime F and Lopez-Juarez, Ismael and Rios-Cabrera, Reyes },
url = {http://dx.doi.org/10.1108/IR-09-2014-0395},
doi = {10.1108/IR-09-2014-0395},
year = {2015},
date = {2015-01-01},
journal = {Industrial Robot: An International Journal},
volume = {42},
number = {2},
pages = {156-166},
abstract = {Purpose \textendash The purpose of this paper was to propose a method based on an Artificial Neural Network and a real-time vision algorithm, to learn welding skills in industrial robotics. Design/methodology/approach \textendash By using an optic camera to measure the bead geometry (width and height), the authors propose a real-time computer vision algorithm to extract training patterns and to enable an industrial robot to acquire and learn autonomously the welding skill. To test the approach, an industrial KUKA robot and a welding gas metal arc welding machine were used in a manufacturing cell. Findings \textendash Several data analyses are described, showing empirically that industrial robots can acquire the skill even if the specific welding parameters are unknown. Research limitations/implications \textendash The approach considers only stringer beads. Weave bead and bead penetration are not considered. Practical implications \textendash With the proposed approach, it is possible to learn specific welding parameters despite of the material, type of robot or welding machine. This is due to the fact that the feedback system produces automatic measurements that are labelled prior to the learning process. Originality/value \textendash The main contribution is that the complex learning process is reduced into an input-process-output system, where the process part is learnt automatically without human supervision, by registering the patterns with an automatically calibrated vision system.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
@article{Navarro-Gonzalez2015,
title = {On-line incremental learning for unknown conditions during assembly operations with industrial robots},
author = {Navarro-Gonzalez, Jose Luis and Lopez-Juarez, Ismael and Ordaz-Hernandez, Keny and Rios-Cabrera, Reyes },
url = {http://dx.doi.org/10.1007/s12530-014-9125-x},
doi = {10.1007/s12530-014-9125-x},
issn = {1868-6486},
year = {2015},
date = {2015-01-01},
journal = {Evolving Systems},
volume = {6},
number = {2},
pages = {101--114},
abstract = {The assembly operation using industrial robots can be accomplished successfully in well-structured environments where the mating pair location is known in advance. However, in real-world scenarios there are uncertainties associated to sensing, control and modelling errors that make the assembly task very complex. In addition, there are also unmodeled uncertainties that have to be taken into account for an effective control algorithm to succeed. Among these uncertainties, it can be mentioned disturbances, backlash and aging of mechanisms. In this paper, a method to overcome the effect of those uncertainties based on the Fuzzy ARTMAP artificial neural network (ANN) to successfully accomplish the assembly task is proposed. Experimental work is reported using an industrial 6 DOF robot arm in conjunction with a vision system for part location and wrist force/torque sensing data for assembly. Force data is fed into an ANN evolving controller during a typical peg in hole (PIH) assembly operation. The controller uses an incremental learning mechanism that is solely guided by the sensed forces. In this article, two approaches are presented in order to compare the incremental learning capability of the manipulator. The first approach uses a primitive knowledge base (PKB) containing 16 primitive movements to learn online the first insertion. During assembly, the manipulator learns new patterns according to the learning criteria which turn the PKB into an enhanced knowledge base (EKB). During a second insertion the controller uses effectively the EKB and operation improves. The second approach employs minimum information (it contains only the assembly direction) and the process starts from scratch. After several operations, that knowledge base increases by including only the needed patterns to perform the insertion. Experimental results showed that the evolving controller is able to assemble the matting pairs enhancing its knowledge whenever it is needed depending on the part geometry and level of expertise. Our approach is demonstrated through several PIH operations with different tolerances and part geometry. As the robot's expertise evolves, the PIH operation is carried out faster with shorter assembly trajectories.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
@article{NavarroGonzalez201578b,
title = {On-line knowledge acquisition and enhancement in robotic assembly tasks},
author = {Navarro-Gonzalez, Jose Luis and Lopez-Juarez, Ismael and Rios-Cabrera, Reyes and Ordaz-Hernandez, Keny},
url = {http://www.sciencedirect.com/science/article/pii/S073658451400074X},
doi = {http://dx.doi.org/10.1016/j.rcim.2014.08.013},
issn = {0736-5845},
year = {2015},
date = {2015-01-01},
journal = {Robotics and Computer-Integrated Manufacturing},
volume = {33},
pages = {78 - 89},
abstract = {Abstract Industrial robots are reliable machines for manufacturing tasks such as welding, panting, assembly, palletizing or kitting operations. They are traditionally programmed by an operator using a teach pendant in a point-to-point scheme with limited sensing capabilities such as industrial vision systems and force/torque sensing. The use of these sensing capabilities is associated to the particular robot controller, operative systems and programming language. Today, robots can react to environment changes specific to their task domain but are still unable to learn skills to effectively use their current knowledge. The need for such a skill in unstructured environments where knowledge can be acquired and enhanced is desirable so that robots can effectively interact in multimodal real-world scenarios. In this article we present a multimodal assembly controller (MAC) approach to embed and effectively enhance knowledge into industrial robots working in multimodal manufacturing scenarios such as assembly during kitting operations with varying shapes and tolerances. During learning, the robot uses its vision and force capabilities resembling a human operator carrying out the same operation. The approach consists of using a MAC based on the Fuzzy ARTMAP artificial neural network in conjunction with a knowledge base. The robot starts the operation having limited initial knowledge about what task it has to accomplish. During the operation, the robot learns the skill for recognising assembly parts and how to assemble them. The skill acquisition is evaluated by counting the steps to complete the assembly, length of the followed assembly path and compliant behaviour. The performance improves with time so that the robot becomes an expert demonstrated by the assembly of a kit with different part geometries. The kit is unknown by the robot at the beginning of the operation; therefore, the kit type, location and orientation are unknown as well as the parts to be assembled since they are randomly fed by a conveyor belt.},
note = {Special Issue on Knowledge Driven Robotics and Manufacturing},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Proceedings Articles
@inproceedings{Mireles-Delgado2015,
title = {Control Servovisual de un Kuka youBot para la manipulacion y traslado de objetos},
author = {Mirelez-Delgado, Flabio and Morales-Diaz, America B. and Rios-Cabrera, Reyes and Perez-Villeda, Hector Manuel},
url = {http://amca.mx/memorias/amca2015/articulos/0044_MiCT3-04.pdf},
year = {2015},
date = {2015-01-01},
abstract = {Este trabajo presenta la implementaci´on de un Control Servovisual Basado en
Imagen en un robot manipulador m´ovil omnidireccional Kuka youBot. El sistema de visi´on
est´a compuesto por un sensor RGB-D Asus Xtion Pror. La ley de control implementada tiene
la estructura de un PD cl´asico para la plataforma m´ovil. El manipulador m´ovil se desplaza a
puntos 3D conocidos mediante el c´alculo de cinem´atica inversa. En este art´ıculo se demuestra
la efectividad del algoritmo en la localizaci´on del objeto de inter´es as´ı como en la manipulaci´on
del mismo para llevarlo de su lugar original a otro espacio deseado.
},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Imagen en un robot manipulador m´ovil omnidireccional Kuka youBot. El sistema de visi´on
est´a compuesto por un sensor RGB-D Asus Xtion Pror. La ley de control implementada tiene
la estructura de un PD cl´asico para la plataforma m´ovil. El manipulador m´ovil se desplaza a
puntos 3D conocidos mediante el c´alculo de cinem´atica inversa. En este art´ıculo se demuestra
la efectividad del algoritmo en la localizaci´on del objeto de inter´es as´ı como en la manipulaci´on
del mismo para llevarlo de su lugar original a otro espacio deseado.
2014
Artículos de revista
@article{Rios-Cabrera:2014:BMD:2583127.2583285,
title = {Boosting Masked Dominant Orientation Templates for Efficient Object Detection},
author = {Rios-Cabrera, Reyes and Tuytelaars, Tinne},
url = {http://dx.doi.org/10.1016/j.cviu.2013.12.008},
doi = {10.1016/j.cviu.2013.12.008},
issn = {1077-3142},
year = {2014},
date = {2014-01-01},
journal = {Comput. Vis. Image Underst.},
volume = {120},
pages = {103--116},
publisher = {Elsevier Science Inc.},
address = {New York, NY, USA},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2013
Proceedings Articles
@inproceedings{Rios-Cabrera_2013_ICCV__B,
title = {Discriminatively Trained Templates for 3D Object Detection: A Real Time Scalable Approach},
author = {Rios-Cabrera, Reyes and Tuytelaars, Tinne},
year = {2013},
date = {2013-12-01},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{conf/iccv/Rios-CabreraT13,
title = {Discriminatively Trained Templates for 3D Object Detection: A Real Time Scalable Approach.},
author = {Rios-Cabrera, Reyes and Tuytelaars, Tinne},
url = {http://dblp.uni-trier.de/db/conf/iccv/iccv2013.html#Rios-CabreraT13},
isbn = {978-1-4799-2839-2},
year = {2013},
date = {2013-01-01},
booktitle = {ICCV},
pages = {2048-2055},
publisher = {IEEE Computer Society},
crossref = {conf/iccv/2013},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
2012
Artículos de revista
@article{RIOSCABRERA2012742,
title = {Efficient multi-camera vehicle detection, tracking, and identification in a tunnel surveillance application},
author = {Rios-Cabrera, Reyes and Tuytelaars, Tinne and Van Gool, Luc J.},
url = {http://www.sciencedirect.com/science/article/pii/S1077314212000380},
doi = {http://dx.doi.org/10.1016/j.cviu.2012.02.006},
issn = {1077-3142},
year = {2012},
date = {2012-01-01},
journal = {Computer Vision and Image Understanding},
volume = {116},
number = {6},
pages = {742 - 753},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2011
Proceedings Articles
@inproceedings{conf/cvpr/Rios-CabreraTG11,
title = {Efficient multi-camera detection, tracking, and identification using a shared set of haar-features.},
author = {Rios-Cabrera, Reyes and Tuytelaars, Tinne and Van Gool, Luc J.},
url = {http://dblp.uni-trier.de/db/conf/cvpr/cvpr2011.html#Rios-CabreraTG11},
isbn = {978-1-4577-0394-2},
year = {2011},
date = {2011-01-01},
booktitle = {CVPR},
pages = {65-71},
publisher = {IEEE Computer Society},
crossref = {conf/cvpr/2011},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}