MAPIR (Machine Perception and Intelligent Robotics Group)
Lines of Research
02.Research and development on robotic telepresence systems that allow for extending independent living and social interaction among elderly people. This system is designed so that a family member, caregiver, or healthcare professional can have a virtual visit to the user's home. Interaction is very similar to that which would occur in a conventional in-person visit
03.Development of safe automatic navigation systems in small spaces as well as systems for friendly interaction with elderly people who have a degree of cognitive frailty who live alone in their homes. This interaction seeks to alleviate feelings of loneliness, contributing to users’ independence and well-being
04.Research and development of networks of sensors and algorithms to sense activity in the environment as well as people's physiological parameters (chronic patient, at-risk patient, patient in rehabilitation, etc.) so that public health professionals (physicians, nurses, social workers, etc.) may monitor and follow-up on them
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Efficient Geometrical Clock Synchronization for Pairwise Sensor Systems
Fernandez-Madrigal, JA; Navarro, A; Asenjo, R; Cruz-Martin, A – 2021
Fast and Robust Certifiable Estimation of the Relative Pose Between Two Calibrated Cameras
Garcia-Salguero, M; Gonzalez-Jimenez, J – 2021
Human motion capture for movement limitation analysis using an RGB-D camera in spondyloarthritis: a validation study.
Trinidad-Fernandez, M; Cuesta-Vargas, A; Vaes, P; Beckwee, D; Moreno, FA; Gonzalez-Jimenez, J; Fernandez-Nebro, A; Manrique-Arija, S; Urena-Garnica, I; Gonzalez-Sanchez, M – 2021
Improving Bayesian inference efficiency for sensory anomaly detection and recovery in mobile robots
Castellano-Quero, M; Fernandez-Madrigal, JA; Garcia-Cerezo, A – 2021
Improving the Head Pose Variation Problem in Face Recognition for Mobile Robots
Baltanas, SF; Ruiz-Sarmiento, JR; Gonzalez-Jimenez, J – 2021
The UMA-VI dataset: Visual-inertial odometry in low-textured and dynamic illumination environments
Zuniga-Noel, D; Jaenal, A; Gomez-Ojeda, R; Gonzalez-Jimenez, J – 2020
Validation, Reliability, and Responsiveness Outcomes of Kinematic Assessment with an RGB-D Camera to Analyze Movement in Subacute and Chronic Low Back Pain.
Trinidad-Fernandez, M; Beckwee, D; Cuesta-Vargas, A; Gonzalez-Sanchez, M; Moreno, FA; Gonzalez-Jimenez, J; Joos, E; Vaes, P – 2020
A predictive model for the maintenance of industrial machinery in the context of industry 4.0
Ruiz-Sarmiento, JR; Monroy, J; Moreno, FA; Galindo, C; Bonelo, JM; Gonzalez-Jimenez, J – 2020
Automatic Waypoint Generation to Improve Robot Navigation Through Narrow Spaces
Moreno, FA; Monroy, J; Ruiz-Sarmiento, JR; Galindo, C; Gonzalez-Jimenez, J – 2020
Characterization, Statistical Analysis and Method Selection in the Two-Clocks Synchronization Problem for Pairwise Interconnected Sensors
Fernandez-Madrigal, JA; Navarro, A; Asenjo, R; Cruz-Martin, A – 2020
Effect of correlation on the capacity of backscatter communication systems
Matez-Bandera, JL; Ramirez-Espinosa, P; Vega-Sanchez, JD; Lopez-Martinez, FJ – 2020
Enhanced robustness of convolutional networks with a push-pull inhibition layer
Strisciuglio, N; Lopez-Antequera, M; Petkov, N – 2020
Grounding Concepts and Methods of Real-Time Scheduling in Reality Using Arduino
Galindo, C; Fernandez-Madrigal, JA – 2020
Joint estimation of gas and wind maps for fast-response applications
Gongora, A; Monroy, J; Gonzalez-Jimenez, J – 2020
Minivideos tutorials to reinforce the learning of basic concepts for an Automatic Control course.
Arevalo, V; Vicente-del-Rey, JM; Garcia-Morales, I; Rivas-Blanco, I – 2020
Performance evaluation of decision making under uncertainty for low power heterogeneous platforms
Constantinescu, DA; Navarro, A; Fernandez-Madrigal, JA; Asenjo, R – 2020
Statistical Study of the Performance of Recursive Bayesian Filters with Abnormal Observations from Range Sensors
Castellano-Quero, M; Fernandez-Madrigal, JA; Garcia-Cerezo, AJ – 2020
Teaching machine learning in robotics interactively: the case of reinforcement learning with Lego((R)) Mindstorms
Martinez-Tenor, A; Cruz-Martin, A; Fernandez-Madrigal, JA – 2019
Ontology-based conditional random fields for object recognition
Ruiz-Sarmiento, JR; Galindo, C; Monroy, J; Moreno, FA; Gonzalez-Jimenez, J – 2019
Monitoring harness use in construction with BLE beacons
Gomez-de-Gabriel, JM; Fernandez-Madrigal, JA; Lopez-Arquillos, A; Rubio-Romero, JC – 2019
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Members
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Researcher in ChargeSerá Investigador de este nivel los Investigadores Responsable que lideren un grupo de investigación del Instituto y sus Co-IR. Esta categoría puede incluir investigadores muy excepcionales en su disciplina.

Javier González Jiménez
Email: javiergonzalez@uma.es
ORCID
SCOPUS
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Co-investigator in ChargeSerá Investigador de este nivel los Investigadores Responsable que lideren un grupo de investigación del Instituto y sus Co-IR. Esta categoría puede incluir investigadores muy excepcionales en su disciplina.

Francisco Ángel Moreno Dueñas
Email: famoreno@uma.es
ORCID
SCOPUS
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Investigador/a SéniorSerán aquellos que tengan una actividad investigadora de al menos 5 años en la etapa posdoctoral. Estos investigadores estarán adscritos a un Grupo de Investigación liderado por un Investigador Responsable. Las funciones serán las que le tenga asignadas su IR.
Pueden liderar una línea de investigación de alguno de los grupos de investigación del Instituto, con financiación competitiva propia, y con potencial para llegar a convertirse responsable de un grupo de investigación.
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Investigadores/as posdoctorales y/o juniorEsta etapa posdoctoral estará restringida a Investigadores del Instituto que tengan el título doctor y no contemplados en los perfiles posteriores. Durante su etapa posdoctoral pueden llegar a liderar proyectos de I+D+i como Investigadores Principales, aunque aún no hayan establecido un nivel significativo de independencia. Además, pueden tener actividades de docencia y/o asistencial más allá de su trabajo de investigación.
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Investigadores/as predoctorales y/o en formación
Los investigadores predoctorales y/o en formación serán aquellos investigadores que realizan investigaciones bajo supervisión en una línea de investigación orientada a la resolución de problemas de salud. Incluye aquellos investigadores que están cursando un doctorado (incluyendo a los contratados Río Hortega)
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