Résultats de recherche

Idiap's DexROV project featured in RTS's CQFD radio show today

DexROV is a robot of a special kind. This underwater robot is destined to take the place of human divers for tasks in very deep water (up to 1’300 meters under ...

Intuitive robot programming to help the watch industry

Luminous paints make it possible to tell the time on analogue timepieces even in the dark. These compounds are still applied manually, as conventional ...

L’Idiap à la Foire du Valais 2025 : laissez un robot dessiner votre portrait !

Du 26 septembre au 5 octobre, plongez dans l’univers fascinant de l’intelligence artificielle avec drozBot, le robot portraitiste de l’Idiap, à l’espace ...

Laterna Magica, the smart beamer

Along his team mates, Sylvain Calinon, head of the Robot Learning & Interaction research group, took part in Idiap Create Challenge 2022 edition. Laterna ...

Like humans, robots can learn to walk

Following a comparable path, robots could learn to move and walk as human being do. The goal of the MEMMO project is to develop a unified approach to motion ...

Idiap pursues its development with new scientific research groups. Recently, the institute has acquired an American robot worth CHF 30’000.-. This investment ...

Multiple International Awards Secured by Idiap in June 2026

June 2026 has emerged as a period of great success at Idiap, with the Institute receiving several prestigious international distinctions across the fields of ...

New SNSF, EU and regional funding secured

The Institute has secured significant new competitive funding at national and European levels, reaffirming the excellence of its research in a challenging ...

Nouveaux financements SNSF, européens et régionaux pour l’Institut

L’Institut a obtenu d’importants financements compétitifs aux niveaux national et européen, réaffirmant l’excellence de sa recherche dans un environnement de ...

On February 2nd, 2018, Ajay Tanwani successfully defended his PhD thesis entitled 'Generative Models for Learning Robot Manipulation Skills from Humans'

The thesis presents generative mixture models for learning robot manipulation skills from a few human demonstrations, and providing assistance to a human ...