Publication

A Tangible Programming Language for the Educational Robot Thymio

Related publications (36)

Product of experts for robot learning from demonstration

Adaptability and ease of programming are key features necessary for a wider spread of robotics in factories and everyday assistance. Learning from demonstration (LfD) is an approach to address this problem. It aims to develop algorithms and interfaces such ...

EPFL2021

Safety Concerns Emerging from Robots Navigating in Crowded Pedestrian Areas

Aude Billard, Diego Felipe Paez Granados, Pericle Salvini

The slogan “robots will pervade our environment” has become a reality. Drones and ground robots are used for commercial purposes while semi-autonomous driving systems are standard accessories to traditional cars. However, while our eyes have been riveted o ...

2021

You Tell, I Do, and We Swap until we Connect All the Gold Mines!

Pierre Dillenbourg, Barbara Bruno, Jauwairia Nasir, Utku Norman

The Project JUSThink has a double goal: (i), to help train the Computational Thinking skills of children with a collaborative, robot-mediated activity, (ii), to acquire insights about how children detect and solve misunderstandings, and what keeps them eng ...

2020

From High-Level to Low-Level Robot Learning of Complex Tasks: Leveraging Priors, Metrics and Dynamical Systems

Nadia Barbara Figueroa Fernandez

Humans have a remarkable way of learning, adapting and mastering new manipulation tasks. With the current advances in Machine Learning (ML), the promise of having robots with such capabilities seems to be on the cusp of reality. Transferring human-level sk ...

EPFL2019

Learning from demonstration with model-based Gaussian process

Sylvain Calinon, David Ginsbourger, Noémie Laure Gwendoline Jaquier

In learning from demonstrations, it is often desirable to adapt the behavior of the robot in function of the variability retrieved from human demonstrations and the (un)certainty encoded in different parts of the task. In this paper, we propose a novel mul ...

2019

Personalized Telerobotics by Fast Machine Learning of Body-Machine Interfaces

Dario Floreano, Fabrizio Schiano, Matteo Macchini

Human-Robot Interfaces (HRIs) can be hard to master for inexperienced users, making the teleoperation of mobile robots a difficult task. The development of Body-Machine Interfaces (BoMIs) represents a promising approach to making a user more proficient, by ...

2019

Automatic extraction of constraints in manipulation tasks for autonomy and interaction

Ana-Lucia Ureche

Tasks routinely executed by humans involve sequences of actions performed with high dexterity and coordination. Fully specifying these actions such that a robot could replicate the task is often difficult. Furthermore the uncertainties introduced by the us ...

EPFL2018

Joining high-level symbolic planning with low-level motion primitives in adaptive HRI: application to dressing assistance

Sylvain Calinon, Emmanuel Pignat

For a safe and successful daily living assistance, far from the highly controlled environment of a factory, robots should be able to adapt to ever-changing situations. Programming such a robot is a tedious process that requires expert knowledge. An alterna ...

2018

Joining high-level symbolic planning with low-level motion primitives in adaptive HRI: application to dressing assistance

Sylvain Calinon, Emmanuel Pignat

Idiap2018

Development and Comparison of Foot Interfaces for Controlling a Robotic Arm in Surgery

Hannes Bleuler, Mohamed Bouri, Etienne Burdet, Elahe Abdi

Currently available foot interfaces to command an external assistive robotic arm for laparoscopic surgery typically consist of a couple of push buttons placed on a planar platform. In this paper, we develop and compare two foot interfaces implementing isot ...

IEEE2018

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