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XGNITIVE

XGNITIVE actualmente alberga dos líneas principales de investigación:

– Acciones Continuas Dirigidas a Objetivos (CGDA)

– Sistema de Imaginación de Robots (RIS)

Código fuente en GitHub:

xgnitive-400px

Entries:
Humanoid Robot Imitation through Continuous Goal-Directed Actions : An Evolutionary Approach
Advanced Robotics. num. 5 , vol. 29 , pages: 303 – 314 , 2015
S. Morante Juan G. Victores A. Jardon
Real Evaluations Tractability using Continuous Goal-Directed Actions in Smart City Applications
Sensors. , vol. 11 , pages: 3818 – 3818 , 2018
R. Fernandez-Fernandez Juan G. Victores D. Estévez
Neural Policy Style Transfer
Cognitive Systems Research. , vol. 72 , pages: 23 – 32 , 2022
R. Fernandez-Fernandez Juan G. Victores J. J. Gago D. Estévez

Entries:
Automatic Demonstration and Feature Selection for Robot Learning
IEEE International Conference on Humanoid Robots, 2015, Seoul, South Korea
S. Morante Juan G. Victores
Action Effect Generalization, Recognition and Execution through Continuous Goal-Directed Actions
IEEE International Conference on Robotics and Automation (ICRA 2014), 2014, Hong Kong, China
S. Morante Juan G. Victores A. Jardon
On Using Guided Motor Primitives to Execute Continuous Goal-Directed Actions
IEEE international symposium on robot and human interactive communication (RO-MAN 2014), 2014, Edinburgh, Scotland
S. Morante Juan G. Victores A. Jardon
Towards Robot Imagination Through Object Feature Inference
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013)., 2013, Tokyo, Japan
Juan G. Victores S. Morante A. Jardon
On Using Humanoid Robot Imagination to Perform the Shortened Token Test
IEEE RAS International Conference on Humanoid Robots (Humanoids 2014), 2014, Madrid, Spain
Juan G. Victores S. Morante A. Jardon
Semantic Action Parameter Inference through Machine Learning Methods
RoboCity2030 12th Workshop: Robótica Cognitiva, 2013, Madrid, Spain
Juan G. Victores S. Morante A. Jardon
Improving CGDA execution through Genetic Algorithms incorporating Spatial and Velocity constraints
IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2017, Coimbra, Portugal
R. Fernandez-Fernandez D. Estévez Juan G. Victores
Reducing the Number of Evaluations Required for CGDA Execution through Particle Swarm Optimization Methods
IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2017, Coimbra, Portugal
R. Fernandez-Fernandez D. Estévez Juan G. Victores
Robot Imitation through Vision, Kinesthetic and Force Features with Online Adaptation to Changing Environments
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018, Madrid, Spain
R. Fernandez-Fernandez Juan G. Victores D. Estévez
Quick, Stat!: A Statistical Analysis of the Quick, Draw! Dataset
EUROSIM 2019, 2019, Logroño,
R. Fernandez-Fernandez Juan G. Victores D. Estévez

Entries:
Robocity16 Open Conference on Future Trends in Robotics
chapter: New trends and challenges in the automatic generation of new tasks for humanoid robots CSIC , ISBN: 978-84-608-8452-1, 2016
R. Fernandez-Fernandez Juan G. Victores C. Balaguer

Entries:
Continuous Goal-Directed Actions: Advances in Robot Learning
Universidad Carlos III de Madrid , 2016
S. Morante
Robot Imagination System
Universidad Carlos III de Madrid , 2014
Juan G. Victores

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El Laboratorio de Robótica está situado en el Campus de Leganés de la Universidad Carlos III de Madrid, a unos 10 kilómetros al sur del centro de Madrid. Nuestras oficinas se encuentran en la tercera planta del edificio Agustín de Betancourt (marcado con el número 1 en el mapa).

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