Related publications (313)

Designing a socially integrated mobile robot for ethological research

Francesco Mondada, Alexey Gribovskiy, Jean-Louis Deneubourg

A robot introduced into an animal group, accepted by the animals as conspecifics, and capable of interacting with them is an ecient tool for ethological research, particularly in studies of collective and social behaviour. In this paper, we present the imp ...
2018

Bringing letters to life: handwriting with haptic-enabled tangible robots

Pierre Dillenbourg, Thibault Lucien Christian Asselborn, Wafa Monia Benkaouar Johal, Ayberk Özgür, Arzu Güneysu Özgür, Khalil Mrini, Elmira Yadollahi

In this paper, we present a robotic approach to improve the teaching of handwriting using the tangible, haptic-enabled and classroom-friendly Cellulo robots. Our efforts presented here are in line with the philosophy of the Cellulo platform: we aim to crea ...
ACM2018

The near future of children's robotics

Wafa Monia Benkaouar Johal

Robotics is a multidisciplinary and highly innovative field. Recently, multiple and often minimally connected sub - communities of child - robot interaction have started to emerge , variously focusing on the design issues , engineering, and applications of ...
2018

Deep Neural Networks for Multiple Speaker Detection and Localization

Jean-Marc Odobez, Petr Motlicek, Weipeng He

We propose to use neural networks for simultaneous detection and localization of multiple sound sources in human-robot interaction. In contrast to conventional signal processing techniques, neural network-based sound source localization methods require few ...
2018

Special issue on robot learning for human-robot collaboration

Sylvain Calinon

The goal of this special issue is to document and highlight recent progress in robot learning for human–robot collaboration (HRC), covering a diversity of articles that reflect the state-of-the-art in the field. Following an open call for papers, we receiv ...
2018

Towards Robust Bipedal Locomotion

Salman Faraji

Thanks to better actuator technologies and control algorithms, humanoid robots to date can perform a wide range of locomotion activities outside lab environments. These robots face various control challenges like high dimensionality, contact switches durin ...
EPFL2018

Real-time Convolutional Networks for Depth-based Human Pose Estimation

Jean-Marc Odobez, Olivier Canévet, Michael Villamizar

We propose to combine recent Convolutional Neural Networks (CNN) models with depth imaging to obtain a reliable and fast multi-person pose estimation algorithm applicable to Human Robot Interaction (HRI) scenarios. Our hypothesis is that depth images conta ...
IEEE2018

A reconfigurable interactive interface for controlling robotic origami in virtual environments

Jamie Paik, Harshal Arun Sonar, Zhenishbek Zhakypov, Jian-Lin Huang

Origami shape transformation is dictated by predefined folding patterns and their folding sequence. The working principle of robotic origami is based on the same principle: we design quasi-two-dimensional tiles and connecting hinges and define and program ...
2018

How to Blend a Robot Within a Group of Zebrafish: Achieving Social Acceptance Through Real-Time Calibration of a Multi-level Behavioural Model

Francesco Mondada, Alexey Gribovskiy, Frank Bonnet

We have previously shown how to socially integrate a fish robot into a group of zebrafish thanks to biomimetic behavioural models. The models have to be calibrated on experimental data to present correct behavioural features. This calibration is essential ...
SPRINGER INTERNATIONAL PUBLISHING AG2018

Evaluating upper limb impairments in multiple sclerosis by exposure to different mechanical environments

Martina Coscia

Multiple sclerosis is a chronic, autoimmune and neurodegenerative disease affecting multiple functional systems and resulting in motor impairments associated with muscle weakness and lack of movement coordination. We quantified upper limb motor deficits wi ...
2018

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