Robot Learning & Interaction

The Robot Learning & Interaction group focuses on human-centered robotics applications in which the robots can acquire new skills from only few demonstrations and interactions.

It requires the development of models that can exploit the structure and geometry of the acquired data in an efficient way, the development of optimal control techniques that can exploit the learned task variations and coordination patterns, and the development of intuitive interfaces to acquire meaningful demonstrations.

The developed approaches can be applied to a wide range of manipulation skills, with robots that are either close to us (assistive and industrial robots), parts of us (prosthetics and exoskeletons), or far away from us (teleoperation).

Group News

Six papers accepted at IEEE ICRA 2021
research — last modified Mar 05, 2021

The Robot Learning & Interaction group will be presenting a total of six papers at the IEEE International Conference on Robotics and Automation (ICRA) 2021.

Robots and humans collaborate to play music together
research — Jan 22, 2020

Collaborative robots are the perfect tool to link art and science. Thanks to his visit at Idiap, a researcher from Goldsmiths University of London used this approach to demonstrate the concept with a piano.

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Group Job Openings

Several Openings for Cross-Disciplinary Senior Researcher positions — by admin — last modified Mar 01, 2021
With the growth of the institute, in addition to increased Federal funding to further support its activities, Idiap is opening several additional permanent senior research scientist positions.
Human-Robot Interfaces for Interactive Robot Programming — by admin — last modified Jul 20, 2021
For robots to be widely adopted across industries and beyond structured manufacturing environments,it is critical for them to be programmable by a wide range of users. Growing research on End User Programming (EUP) for robotics aims to address this problem with novel user interfaces, programming languages, and techniques to aid or fully automate robot programming.

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Current Group Members

The group is leaded by Sylvain Calinon.

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Alumni

  • ABBET, Christian
  • BERIO, Daniel
  • BOURGEOIS, Dylan
  • GAO, Xiao
  • GULJELMOVIC, Nikol
  • HAVOUTIS, Ioannis
  • HONOREZ, Valentin
  • JAQUIER, Noémie
  • KUPCSIK, Andras (Gabor)
  • LOKIETKO, Jaroslaw
  • MA, Wei
  • PAOLILLO, Antonio
  • PIGNAT, Emmanuel
  • STANDAERT, Florian
  • SUOMALAINEN, Markku (Heikki)
  • TANWANI, Ajay (Kumar)
  • TAO, Dominique
  • TROUSSARD, Martin
  • VAES, Clément
  • WÜTSCHERT, Robin

Active Research Grants

Past Research Grants