Javier de Lope
Javier de Lope
Department of Artificial Intelligence, UPM
Verified email at upm.es
Cited by
Cited by
On the potential contributions of hybrid intelligent approaches to multicomponent robotic system development
RJ Duro, M Graña, J de Lope
Information Sciences 180 (14), 2635-2648, 2010
Orthogonal variant moments features in image analysis
M Santos, J de Lope
Information Sciences 180 (6), 846-860, 2010
Adaptation, anticipation and rationality in natural and artificial systems: computational paradigms mimicking nature
JA Martín H, J de Lope, D Maravall
Natural Computing 8 (4), 757-775, 2009
Multi-objective dynamic optimization with genetic algorithms for automatic parking
D Maravall, J De Lope
Soft Computing 11 (3), 249-257, 2007
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications
JM Górriz, J Ramírez, A Ortíz, FJ Martinez-Murcia, F Segovia, J Suckling, ...
Neurocomputing 410, 237-270, 2020
A method to learn the inverse kinematics of multi-link robots by evolving neuro-controllers
J de Lope, M Santos
Neurocomputing 72 (13-15), 2806-2814, 2009
Robust high performance reinforcement learning through weighted k-nearest neighbors
J de Lope, D Maravall
Neurocomputing 74 (8), 1251-1259, 2011
Self-organizing techniques to improve the decentralized multi-task distribution in multi-robot systems
J de Lope, D Maravall, Y Quinonez
Neurocomputing 163, 47-55, 2015
Response threshold models and stochastic learning automata for self-coordination of heterogeneous multi-task distribution in multi-robot systems
J de Lope, D Maravall, Y Quiñonez
Robotics and Autonomous Systems 61 (7), 714-720, 2013
Vision-based anticipatory controller for the autonomous navigation of an UAV using artificial neural networks
D Maravall, J de Lope, JP Fuentes
Neurocomputing 151, 101-107, 2015
The knn-td reinforcement learning algorithm
J de Lope, D Maravall
International Work-Conference on the Interplay Between Natural and …, 2009
Hybridizing evolutionary computation and reinforcement learning for the design of almost universal controllers for autonomous robots
D Maravall, J de Lope
Neurocomputing 72 (4-6), 887-894, 2009
Combination of model-based and reactive methods in autonomous navigation
D Maravall, J De Lope, F Serradilla
Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference …, 2000
Coordination of communication in robot teams by reinforcement learning
D Maravall, J de Lope, R Domínguez
Robotics and Autonomous Systems 61 (7), 661-666, 2013
Solving the inverse kinematics in humanoid robots: A neural approach
J De Lope, T Zarraonandia, R González-Careaga, D Maravall
International Work-Conference on Artificial Neural Networks, 177-184, 2003
Ex< α>: An effective algorithm for continuous actions reinforcement learning problems
J de Lope
2009 35th Annual Conference of IEEE Industrial Electronics, 2063-2068, 2009
Navigation and self-semantic location of drones in indoor environments by combining the visual bug algorithm and entropy-based vision
D Maravall, J de Lope, JP Fuentes
Frontiers in neurorobotics 11, 46, 2017
Fusion of probabilistic knowledge-based classification rules and learning automata for automatic recognition of digital images
D Maravall, J De Lope, JP Fuentes
Pattern Recognition Letters 34 (14), 1719-1724, 2013
Integration of reactive utilitarian navigation and topological modeling
J de Lope, D Maravall
Autonomous Robotic Systems, 103-139, 2003
Inverse kinematics for humanoid robots using artificial neural networks
J De Lope, R González-Careaga, T Zarraonandia, D Maravall
International Conference on Computer Aided Systems Theory, 448-459, 2003
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