A Developmental Roadmap for Learning by Imitation in Robots
By Manuel Lopes, José Santos-Victor. 2007
70 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition, 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 Biomedical Engineering
- Pierre-Yves Oudeyer
- Adrien Baranes
- Luis Montesano
- Francisco S. Melo
- Manuel Lopes
- José Santos-Victor
- J. Urgen Schmidhuber
In Computer Vision and Pattern Recognition
- Pierre-Yves Oudeyer
- Adrien Baranes
- Francisco S. Melo
- Luis Montesano
- José Santos-Victor
- Manuel Lopes
- Alexandre Bernardino
In Control and Systems Engineering
- Manuel Lopes
- Pierre-Yves Oudeyer
- Luis Montesano
- Adrien Baranes
- José Santos-Victor
- Francisco S. Melo
- Alexandre Bernardino
- Ben Kenward
Citations in the corpus
- Active learning of inverse models with intrinsically motivated goal exploration in robots (2013, positive): “ Social guidance is an important source of such constraints, widely studied in robot learning by demonstration/imitation where an external human demonstrator assists the robot in its learning process [1, 63, 18, 24, 59, 26, 60]. Typically, a robot teacher manually interacts with the robot by showing”
- Abstraction Levels for Robotic Imitation: Overview and Computational Approaches (2010, methodology): “plex skills that must be previously implemented or developed [84].”
- A Computational Model of Social-Learning Mechanisms (2009, background): “Other models, that rely on the replication of some observed e ect in the environment without taking into account the corresponding actions, can be found in [11,12,13,14].”
- Learning Object Affordances: From Sensory--Motor Coordination to Imitation (2008, background): “In this paper, we assume that the motor skills have already been learned as presented in Section II-A, for detai ls refer to [21].”