Publication

Identifying important sensory feedback for learning locomotion skills

Publications associées (44)

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

Real-world, real-time robotic grasping with convolutional neural networks

Josephine Anna Eleanor Hughes

Adapting to uncertain environments is a key obstacle in the development of robust robotic object manipulation systems, as there is a trade-off between the computationally expensive methods of handling the surrounding complexity, and the real-time requireme ...

Springer Verlag2017

Learning From Humans

Aude Billard, Sylvain Calinon

This chapter surveys the main approaches developed to date to endow robots with the ability to learn from human guidance. The field is best known as robot programming by demonstration, robot learning from/by demonstration, apprenticeship learning and imita ...

Springer2016

Bidirectional Learning of Handwriting Skill in Human-Robot Interaction

Aude Billard, Hang Yin, Ana Paiva

This paper describes the design of a robot agent and associated learning algorithms to help children in handwriting acquisition. The main issue lies in how to program a robot to obtain human-like handwriting and then exploit it to teach children. We propos ...

2015

Learning Optimal Controllers in Human-robot Cooperative Transportation Tasks with Position and Force Constraints

Sylvain Calinon

Human-robot collaboration seeks to have humans and robots closely interacting in everyday situations. For some tasks, physical contact between the user and the robot may occur, originating significant challenges at safety, cognition, perception and control ...

2015

Learning bimanual end-effector poses from demonstrations using task-parameterized dynamical systems

Sylvain Calinon

Very often, when addressing the problem of human-robot skill transfer in task space, only the Cartesian position of the end-effector is encoded by the learning algorithms, instead of the full pose. However, orientation is just as important as position, if ...

2015

Institutional Robotics Institutions for Social Robots

José Nuno Ferreira Maia Pereira

The way human beings engage with material things in our environment is experiencing rapid modification. Human and non-human, natural and artificial creatures are on the verge of building unprecedented relations of sociability. This paper takes this process ...

Springer2015

Robot Learning with Task-Parameterized Generative Models

Sylvain Calinon

Task-parameterized models provide a representation of movement/behavior that can adapt to a set of task parameters describing the current situation encountered by the robot, such as location of objects or landmarks in its workspace. This paper gives an ove ...

2015

Towards Automatic Discovery of Agile Gaits for Quadrupedal Robots

Roland Siegwart, Marco Hutter

Developing control methods that allow legged robots to move with skill and agility remains one of the grand challenges in robotics. In order to achieve this ambitious goal, legged robots must possess a wide repertoire of motor skills. A scalable control ar ...

2014

Online Extreme Evolutionary Learning Machines

Dario Floreano, Joshua Evan Auerbach

Recently, the notion that the brain is fundamentally a prediction machine has gained traction within the cognitive science community. Consequently, the ability to learn accurate predictors from experience is crucial to creating intelligent robots. However, ...

The MIT Press2014

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