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Neural Computation, ISSN 0899-7667, 08/2016, Volume 28, Issue 8, p. 1599
  Consider a self-motivated artificial agent who is exploring a complex environment. Part of the complexity is due to the raw high-dimensional sensory input... 
Learning | Information | Sensory perception
Journal Article
Artificial Intelligence, ISSN 0004-3702, 06/2017, Volume 247, pp. 313 - 335
In the absence of external guidance, how can a robot learn to map the many raw pixels of high-dimensional visual inputs to useful action sequences? We propose... 
Skill acquisition | Incremental learning | Slow feature analysis | Reinforcement learning | Artificial curiosity | iCub | Continual learning | AGGLOMERATIVE CLUSTERING METHOD | CREATIVITY | FRAMEWORK | COMPONENT ANALYSIS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Robotics industry | Analysis
Journal Article
Frontiers in Neurorobotics, ISSN 1662-5218, 2014, Volume 7, pp. 1 - 15
Journal Article
Neural Computation, ISSN 0899-7667, 08/2016, Volume 28, Issue 8, pp. 15990 - 1662
Consider a self-motivated artificial agent who is exploring a complex environment. Part of the complexity is due to the raw high-dimensional sensory input... 
AGGLOMERATIVE CLUSTERING METHOD | CREATIVITY | FRAMEWORK | PRINCIPLE | COMPONENT ANALYSIS | NEUROSCIENCES | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Learning | Computation | Raw | Mathematical models | Representations | Regularity | Streams | Optimization
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2014, Volume 8575, pp. 210 - 219
Conference Proceeding
Advances in Neural Information Processing Systems, ISSN 1049-5258, 2015, Volume 2015-, pp. 2998 - 3006
Conference Proceeding
Advances in Neural Information Processing Systems, ISSN 1049-5258, 2014, Volume 4, Issue January, pp. 3545 - 3553
Conference Proceeding
Frontiers in neurorobotics, ISSN 1662-5218, 01/2014, Volume 7, p. 25
Most previous work on artificial curiosity (AC) and intrinsic motivation focuses on basic concepts and theory. Experimental results are generally limited to... 
Journal Article
Artificial Intelligence, ISSN 0004-3702, 06/2017, Volume 247, p. 313
In the absence of external guidance, how can a robot learn to map the many raw pixels of high-dimensional visual inputs to useful action sequences? We propose... 
Humanoid | Skills | Grasping (robotics) | Machine learning | Representations | Field of view | Artificial intelligence | Robots | Robotics | Pixels
Journal Article
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, ISSN 2153-0858, 11/2013, pp. 5772 - 5778
To plan complex motions of robots with many degrees of freedom, our novel, very flexible framework builds task-relevant roadmaps (TRMs), using a new... 
Transmission line measurements | Planning | Robot kinematics | Humanoid robots | Optimization | Kinematics
Conference Proceeding
2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids), ISSN 2164-0572, 11/2015, Volume 2015-, pp. 187 - 193
This paper presents Natural Gradient Control (NGC), a control algorithm that efficiently estimates and applies the natural gradient for high-degree of freedom... 
Jacobian matrices | Cost function | Sociology | Covariance matrices | Robots | Kinematics
Conference Proceeding
06/2015
Convolutional Neural Networks (CNNs) can be shifted across 2D images or 3D videos to segment them. They have a fixed input size and typically perceive only... 
Journal Article
07/2014
Traditional convolutional neural networks (CNN) are stationary and feedforward. They neither change their parameters during evaluation nor use feedback from... 
Journal Article
2014 International Joint Conference on Neural Networks (IJCNN), ISSN 2161-4393, 07/2014, pp. 2705 - 2712
How can a humanoid robot autonomously learn and refine multiple sensorimotor skills as a byproduct of curiosity driven exploration, upon its high-dimensional... 
Estimation error | Visualization | Grasping | Switches | Learning (artificial intelligence) | Feature extraction | Robots
Conference Proceeding
2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL), 11/2012, pp. 1 - 6
Pure scientists do not only invent new methods to solve given problems. They also invent new problems. The recent POWERPLAY framework formalizes this type of... 
Training | Computers | Recurrent neural networks | Neurons | Artificial neural networks | Computer architecture | Encoding
Conference Proceeding
2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL), 11/2012, pp. 1 - 8
To autonomously learn behaviors in complex environments, vision-based agents need to develop useful sensory abstractions from high-dimensional video. We... 
Training | Estimation error | Adaptation models | Switches | Libraries | Encoding | Vectors
Conference Proceeding
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