<p>(a) through (f) illustrate the use of graphical models for learning state-transitions, action inference, goal inference, goal-based imitation, and state prediction. Shaded nodes denote observed variables.</p
Learning by imitation has shown to be a powerful paradigm for automated learning in autonomous robot...
Learning by imitation represents an important mechanism for rapid acquisition of new behaviors in hu...
In this document we present computer simulation experiments on goal level imitation. We investigate ...
Humans are extremely adept at learning new skills by imitating the actions of others. A progression ...
This dissertation rethinks the problem of robot imitative learning given human demonstrations and pr...
<p>(a) The graphical model shows the probabilistic dependencies between different random variables i...
Imitation learning has been recognized as a promising technique to teach robots advanced skills. It ...
Imitation in robotics is seen as a powerful means to reduce the complexity of robot programming. It ...
In this paper we present a robot control architecture for learning by imitation which takes inspira...
Imitation learning has been recognized as a promising technique to teach robots advanced skills. It ...
Contains fulltext : 55077.pdf (publisher's version ) (Open Access)In this paper we...
The proposed work presents a framework based on Graph Neural Networks (GNN) that abstracts the task ...
Abstract. We report results of an interdisciplinary project which aims at endowing a real robot syst...
Abstract. We report results of an interdisciplinary project which aims at endowing a real robot syst...
Learning by imitation represents a useful and promising alternative to program robots. The approach ...
Learning by imitation has shown to be a powerful paradigm for automated learning in autonomous robot...
Learning by imitation represents an important mechanism for rapid acquisition of new behaviors in hu...
In this document we present computer simulation experiments on goal level imitation. We investigate ...
Humans are extremely adept at learning new skills by imitating the actions of others. A progression ...
This dissertation rethinks the problem of robot imitative learning given human demonstrations and pr...
<p>(a) The graphical model shows the probabilistic dependencies between different random variables i...
Imitation learning has been recognized as a promising technique to teach robots advanced skills. It ...
Imitation in robotics is seen as a powerful means to reduce the complexity of robot programming. It ...
In this paper we present a robot control architecture for learning by imitation which takes inspira...
Imitation learning has been recognized as a promising technique to teach robots advanced skills. It ...
Contains fulltext : 55077.pdf (publisher's version ) (Open Access)In this paper we...
The proposed work presents a framework based on Graph Neural Networks (GNN) that abstracts the task ...
Abstract. We report results of an interdisciplinary project which aims at endowing a real robot syst...
Abstract. We report results of an interdisciplinary project which aims at endowing a real robot syst...
Learning by imitation represents a useful and promising alternative to program robots. The approach ...
Learning by imitation has shown to be a powerful paradigm for automated learning in autonomous robot...
Learning by imitation represents an important mechanism for rapid acquisition of new behaviors in hu...
In this document we present computer simulation experiments on goal level imitation. We investigate ...
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