José Manuel Cuadra Troncoso

Areas de interés

• Redes neuronales naturales

• Robótica autónoma

• Simulación

• Análisis de Imágenes de Resonancia Magnética

• Localización de dispositivos usando Bluetooth Low Energy

Proyectos

• Automated segmentation and disease progression analysis of focal brain pathology using novel knowledge based algorithms. Mecanismo Financiero del Espacio Económico Europeo. (Oslo University Hospital, The Intervention Center). 01/12/2013-30/11/2015.

• Interpretacion de Actividades y Situaciones para la Toma de Decisiones y la Actuacion Inteligentes. Ministerio de Economía y Competitividad. Universidad Nacional de Educación a Distancia. 01/01/2011-31/12/2013.

• Control de Robots Autronomos Mediante Cultivos Biologicos de Neuroblastomas Humanas. Universidad Nacional de Educación a Distancia. 01/10/2010-30/09/2011.

• AVISADOS-Desarrollo de sensores genéricos y lenguajes intermedios para la descripción de escenas en tareas de vigilancia visual avanzada. Universidad Nacional de Educación a Distancia). 01/10/2007-30/09/2010

Artículos

1. Mikel Val Calvo; et al. 2016. Functional connectivity graphs in hippocampal cultures using tetanic stimulation for real time robotic control. Frontiers in Neuroscience. Frontiers. 00104.

2. Coral García Rodríguez; et al. 2015. A simulation tool for monitoring elderly who suffer from disorientation in a smart home. Expert Systems: The Journal of Knowledge Engineering,. Wiley Publishing Ltd. 32-6, pp.676-687.

3. José Manuel Cuadra Troncoso; et al. 2015. Consistent robot localization using Polar Scan Matching based on Kalman Segmentation. Robotics and Autonomous Systems. Elsevier. 63-2, pp.219-225.

4. Roberto García Misis; et al. 2015. Development of a Web Platform for On-line Robotics Learning Workshops Using Real Robots. Lecture Notes in Computer Science. Springer-Verlag. 9108, pp.232-239.

5. José Manuel Cuadra Troncoso; et al. 2015. Towards Robot Localization Using Bluetooth Low Energy Beacons RSSI Measures. Lecture Notes in Computer Science. Springer-Verlag. 9108, pp.222-231.

6. Israel Navarro Santosjuanes; José Manuel Cuadra Troncoso; Félix de la Paz López. 2013. Improved Polar Scan-Matching Using an Advanced Line Segmentation Algorithm. Lecture Notes in Computer Science. Springer-Verlag. 7931, pp.32-44.

7. Victor Lorente; et al. 2013. Neural Spike Activation in Hippocampal Cultures Using Hebbian Electrical Stimulation. Lecture Notes in Compute Science. Springer-Verlag. 7930, pp.37-47.

8. Raúl Arnau Prieto; et al. 2013. Reactive Navigation and Online SLAM in Autonomous Frontier-Based Exploration. Lecture Notes in Computer Science. Springer-Verlag. 7931, pp.45-55.

9. Coral García Rodríguez; Rafael Martínez Tomás; José Manuel Cuadra Troncoso. 2013. Smart Spaces and Monitoring Simulation. Lecture Notes in Computer Science. Springer-Verlag. 7931, pp.190-199.

10. José Manuel Cuadra Troncoso; et al. 2012. Response calibration in neuroblastoma cultures over multielectrode array. Neurocomputing. Elsevier. 75, pp.98-105.

11. José Manuel Ferrández; et al. 2011. A biological neuroprocessor for robotic guidance using a center of area method. Neurocomputing. 74, pp.1229-1236.

12. José Manuel Cuadra Troncoso; et al. 2011. Improving Area Center Robot Navigation Using a Novel Range Scan Segmentation Method. Lecture Notes in Computer Science. Springer-Verlag. 6686, pp.233-245.

13. Sergio Almansa-Valverde; et al. 2011. Mobile Robot Localization through Identifying Spatial Relations from Detected Corners. Lecture Notes in Computer Science. Springer-Verlag. 6687, pp.371-380.

14. Daniel de Santos; et al. 2011. Tools for Controlled Experiments and Calibration on Living Tissues Cultures. Lecture Notes in Computer Science. Springer-Verlag. 6687, pp.472-481.

15. José M. Ferrández; et al. 2010. Biological Neuroprocessors using a Center of Area Method. IJCCI (ICFC-ICNC). SciTePress. pp.336-343.

16. José Manuel Ferrández; et al. 2010. A Hybrid Robotic Control System using Neuroblastoma Cultures. Lecture Notes in Artificial Intelligence. Springer. 6076, pp.245-253.

17. Daniel de Santos; et al. 2010. A client-server architecture for remotely controlling a robot using a closed-loop system with a biol. Robotics and Autonomous Systems. 58, pp.1223-1230.

18. José Ramón Álvarez Sánchez; Félix de la Paz López; José Manuel Cuadra Troncoso. 2010. Reactive navigation in real environments using partial center of area method. Robotics and Autonomous Systems. 58, pp.1231-1237.

19. Félix de la Paz López, José Ramón Álvarez Sánchez, José M. Cuadra Troncoso, José Ignacio Rosado Sánchez. 2009. Partial Center of Area Method Used for Reactive Autonomous Robot Navigation. Lecture Notes In Computer Science, vol. 5602. Springer-Verlag, Berlin, Heidelberg, 408-418.DOI= http://dx.doi.org/10.1007/978-3-642-02267-8_44

20. Félix de la Paz López, José Ramón Álvarez Sánchez, José Ignacio Rosado Sánchez, José M. Cuadra Troncoso. 2009. Mathematical Foundations of the Center of Area Method for Robot Navigation. Lecture Notes In Computer Science, vol. 5602. Springer-Verlag, Berlin, Heidelberg, 419-428.DOI= http://dx.doi.org/10.1007/978-3-642-02267-8_45

21. Cuadra Troncoso, J. M., Álvarez Sánchez, J. R., and de la Paz López, F. 2009. Discretized ISO-learning neural network for obstacle avoidance in reactive robot controllers. Neurocomputing. 72, 4-6 (Jan. 2009), 861-870. DOI= http://dx.doi.org/10.1016/j.neucom.2008.06.019

22. Cuadra Troncoso, J. M., Álvarez Sánchez, J. R., and Paz López, F. 2007. Discretization of ISO-Learning and ICO-Learning to Be Included into Reactive Neural Networks for a Robotics Simulator. Lecture Notes In Computer Science, vol. 4528. Springer-Verlag, Berlin, Heidelberg, 367-378. DOI= http://dx.doi.org/10.1007/978-3-540-73055-2_39

23. Álvarez Sánchez, J. R., Mira Mira, J., de la Paz López, F., and Cuadra Troncoso, J. M. 2007. The centre of area method as a basic mechanism for representation and navigation. Robot. Auton. Syst. 55, 12 (Dec. 2007), 860-869. DOI= http://dx.doi.org/10.1016/j.robot.2007.07.008

Technical reports y manuales

1. José Manuel Cuadra Troncoso, José Mira Mira. Biblioteca de componentes de modelado conexionista para Scicos. Dept. Inteligencia Artificial-UNED, November 2007.

2. José Manuel Cuadra Troncoso. Manual de usuario de CyberSim. Dept. Inteligencia Artificial-UNED, September 2007.

3. José Manuel Cuadra Troncoso. Simulación realista de sensores de rango: un enfoque probabilístico. Technical Report R-01, Dept. Inteligencia Artificial-UNED, September 2008.