Main nmansard channel

Author: Chris McGreavy, CERN The video presents two open challenges for robots to reach and carry out maintenance tasks close to the Large Hadron Collider (LHC) beamline: Collider Instrument Maintenance and Force-Controlled Sampling in Constraine...

The Agimus CS#1.2 features an in-orbit assembly problem for 2 robot arms and a mobile placement device, inducing long task sequences with collision avoidances and fine placements. In this benchmak, we report sucess on 6 sub-scenarios with various ...

The Agimus CS#1.2 features an in-orbit assembly problem for 2 robot arms and a mobile placement device, inducing long task sequences with collision avoidances and fine placements. In this benchmak, a failure is artificialy introduced during the ex...

The Agimus CS#1.2 features an in-orbit assembly problem for 2 robot arms and a mobile placement device, inducing long task sequences with collision avoidances and fine placements. The video gives an overview of the task-planning part of the planne...

The Agimus CS#1.2 features an in-orbit assembly problem for 2 robot arms and a mobile placement device, inducing long task sequences with collision avoidances and fine placements. In this video, we report the complete assembly sequence, leading to...

Abstract. Environmental monitoring is becoming increasingly important to address biodiversity loss, climate change, and ecosystem degradation. Traditional monitoring approaches are often labor-intensive, expensive, and limited in spatial and tempo...

Talk by Samuel Gruffaz (TUNI): Monday, May 18th, 2026 -- 11.00 - 12.00 -- Room T2 Computer Science Building Riemannian Metric Learning: an Eldorado for AI?  by Samuel Gruffaz, Univ. Tampere (https://sites.google.com/view/samuelgruffaz) Abstrac...

By Joseph Amigo, Rooholla Khorrambakht, Nicolas Mansard, Ludovic Righetti Artificial and Natural Intelligence Toulouse Institute, Toulouse, France Machines in Motion Laboratory, New York University, USA LAAS-CNRS, Univ. Toulouse, CNRS, Toulou...

Authors: Ale, Côme, Constant et al

By Sébastien Kleff (1,2,3), Armand Jordana (1,2,4), Nicolas Mansard (3,5), Ludovic Righetti (1,2,5) Submitted to IEEE Transactions on Robotics (T-RO) Model-predictive control is an appealing framework to control robots due to its ability to ex...

By Armand Jordana (1,2), Sébastien Kleff (2,4,6), Arthur Haffemayer (4,5), Joaquim Ortiz-Haro (1), Justin Carpentier (3), Nicolas Mansard (4,5), Ludovic Righetti (2) Submitted to IEEE Robotics and Automation Letters (RAL) Model Predictive Cont...

By Armand Jordana (1), Avadesh Meduri (2), Etienne Arlaud (3), Justin Carpentier (3), Ludovic Righetti (1,4) Published in IEEE International Conference on Robotics and Automation (ICRA) In robotics, designing robust algorithms in the face of e...

Published in IEEE International Conference on Robotics and Automation (ICRA) By Armand Jordana (1,2,3), Sébastien Kleff (1,2,4), Justin Carpentier (3), Nicolas Mansard (4,5), Ludovic Righetti (1,2,5) Nonlinear model-predictive control has rec...

Submitted to IEEE Transactions on Robotics (T-RO) By Armand Jordana (1), Sébastien Kleff (1), Avadesh Meduri (1), Justin Carpentier (2,3), Nicolas Mansard (4,5), Ludovic Righetti (1,5) The promise of model-predictive control in robotics has le...

Work of 8 young apprentice researchers (10-16 yo) on a sunny July afternoon

Recent technological progress is supported by the generalization of numerical tools for simulating, controlling, and observing physical systems. Yet, by focusing on more and more complex phenomena, our conventional tools are falling short of meeti...

by Ewen Dantec

This talk was given during the JNRH (https://jnrh2023.sciencesconf.org/), in July 2023, in Bordeaux, France, at the Robocup. Robin Deits is Principal Software Engineer in the humanoid team of Boston Dynamics, working with Atlas. Title of t...