Goal Babbling Permits Direct Learning of Inverse Kinematics
By Matthias Rolf, Jochen J. Steil, Michael Gienger. 2010
192 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Control and Systems Engineering
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Pierre-Yves Oudeyer
- Adrien Baranes
- Gianluca Baldassarre
- Sao Mai Nguyen
- Marco Mirolli
- Frederic Kaplan
- Duy Nguyen-Tuong
- Jan Peters
In Control and Systems Engineering
- Pierre-Yves Oudeyer
- Sao Mai Nguyen
- Adrien Baranes
- Frederic Kaplan
- Duy Nguyen-Tuong
- Jan Peters
- Gianluca Baldassarre
- Marco Mirolli
Citations in the corpus
- Curiosity Driven Exploration of Learned Disentangled Goal Spaces (2018, background): “One approach that was shown to be efficient in this context is known as Intrinsically Motivated Goal Exploration Processes (IMGEPs) [3, 14, 15], an architecture closely related to Goal Babbling [16].”
- GRAIL: A Goal-Discovering Robotic Architecture for Intrinsically-Motivated Learning (2016, background): “In the “goal babbling” framework [67] the process of goal formation is tackled by focussing on the boost that goals”
- Socially guided intrinsic motivation for robot learning of motor skills (2013, methodology): “This system will also leverage efficient techniques for active learning of inverse models using goal babbling (Baranes and Oudeyer 2013; Rolf et al. 2010; Baranes and Oudeyer 2010), but extend them with a technical integration with robot learning by demonstration techniques (Billard et al 2007).”
- Model learning for robot control: a survey (2011, background): “These approaches additionally requires explorations in the data space, where the explorations can be performed in the input space [33] or the target space [127].”
- Online Goal Babbling for rapid bootstrapping of inverse models in high dimensions (2011, background): “Mail: {mrolf,jsteil}@CoR-Lab.”
- Intrinsically Motivated Learning of Real-World Sensorimotor Skills with Developmental Constraints (2013, background): “…intrinsic motivation system where active exploration takes place directly in the task space (i.e. realizing what is sometimes called goal babbling Rolf et al., 2010), and show quantitatively how it can improve the speed of skill acquisition in a high-dimensional highly-redundant robot.”