Nicolas Mansard
Main nmansard channel
Author
Nicolas Mansard
Category
Podcast website
Latest episode
May 18, 2026
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Episodes
Talk by Samuel Gruffaz at Aalto Univ, Riemannian metric learning, 18/5/26 Video 18.05.2026 47:06
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...
Coupled Local and Global World Models for Efficient First Order RL Video 19.02.2026 2:56
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...
First experiment with a home-trained policy on H1v2 at LAAS-CNRS Video 15.10.2025 0:22
Authors: Ale, Côme, Constant et al
Force Feedback in Model Predictive Control: A Soft Contact Approach Video 19.05.2025 1:52
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...
Infinite-Horizon Value Function Approximation for Model Predictive Control Video 15.05.2025 3:30
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...
Risk-Sensitive Extended Kalman Filter Video 29.04.2025 1:03
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...
Force feedback model-predictive control via online estimation Video 29.04.2025 2:32
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...
Stagewise Implementations of Sequential Quadratic Programming for Model-Predictive Control Video 29.04.2025 3:33
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...
Manta "Flappy-Blimp" robot at LAAS-CNRS Video 28.03.2025 0:11
Work of 8 young apprentice researchers (10-16 yo) on a sunny July afternoon
Steen Jany: Integrating deep learning with physics and control theory Video 11.03.2024 33:37
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...
Talos WB-MPC push recovery Video 24.11.2023 0:42
by Ewen Dantec
Robin Deits: Momentum and Manipulation with Atlas (talk at JNRH 2023, Bordeaux, France) Video 11.07.2023 40:35
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...
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