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Bidirectional Learning of Handwriting Skill in Human-Robot Interaction

Publications associées (91)

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The Cognitive Correlates of Anthropomorphism

Pierre Dillenbourg, Séverin Lemaignan, Julia Fink

While anthropomorphism in human-robot interaction is often discussed, it still appears to lack formal grounds. We recently proposed a first model of the dynamics of anthropomorphism that reflects the evolution of anthropomorphism in the human-robot interac ...

2014

Learning adaptive movements from demonstration and self-guided exploration

Sylvain Calinon

The combination of imitation and exploration strategies is used in this paper to transfer sensory-motor skills to robotic platforms. The aim is to be able to learn very different tasks with good generalization capabilities and starting from a few demonstra ...

2014

Learning Cost Function and Trajectory for Robotic Writing Motion

Aude Billard, Hang Yin, Ana Paiva

We present algorithms for inferring the cost function and reference trajectory from human demonstrations of hand-writing tasks. These two key elements are then used, through optimal control, to generate an impedance-based controller for a robotic hand . Th ...

2014

Perceptual Learning With Only One Stimulus

Michael Herzog, Lukasz Grzeczkowski, Fred Mast, Elisa Tartaglia

Perceptual learning is learning to see. For example in a bisection task, three parallel lines are presented with the central line slightly offset towards the right or the left outer line. Participants indicate the offset direction. Training gradually impro ...

2014

Autonomous reinforcement learning with experience replay

Ajay Kumar Tanwani

This paper considers the issues of efficiency and autonomy that are required to make reinforcement learning suitable for real-life control tasks. A real-time reinforcement learning algorithm is presented that repeatedly adjusts the control policy with the ...

Pergamon-Elsevier Science Ltd2013

Modelling and Optimizing Mathematics Learning in Children

This study introduces a student model and control algorithm, optimizing mathematics learning in children. The adaptive system is integrated into a computer-based training system for enhancing numerical cognition aimed at children with developmental dyscalc ...

2013

Multi-round computation of type-threshold functions in collocated Gaussian networks

Michael Christoph Gastpar, Chien-Yi Wang

In wireless sensor networks, various applications involve learning one or multiple functions of the measurements observed by sensors, rather than the measurements themselves. This paper focuses on the computation of type-threshold functions which include t ...

2013

Sparse reward processes

Christos Dimitrakakis

We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is a relation among those tasks, then the information gained during execution of one task has value for the execution of another task. Cons ...

arxiv2012

Tangible interfaces: when physical-virtual coupling may be detrimental to learning

Pierre Dillenbourg, Patrick Jermann, Sébastien Cuendet

Tangible user interfaces (TUIs) have been the focus of much attention recently in the HCI and learning communities. Although TUIs seem to intuitively offer potential to increase the learning experience, there have been questions about whether they actually ...

2012

Iterative Learning of Feed-Forward Corrections for High-Performance Tracking

We revisit a recently developed iterative learning algorithm that enables systems to learn from a repeated operation with the goal of achieving high tracking performance of a given trajectory. The learning scheme is based on a coarse dynamics model of the ...

2012