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Coupled Local and Global World Models for Efficient First Order RL
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...
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First experiment with a home-trained policy on H1v2 at LAAS-CNRS
Authors: Ale, Côme, Constant et al
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Force Feedback in Model Predictive Control: A Soft Contact Approach
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...
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Infinite-Horizon Value Function Approximation for Model Predictive Control
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...
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Risk-Sensitive Extended Kalman Filter
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...
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Force feedback model-predictive control via online estimation
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...
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Stagewise Implementations of Sequential Quadratic Programming for Model-Predictive Control
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...
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Manta "Flappy-Blimp" robot at LAAS-CNRS
Work of 8 young apprentice researchers (10-16 yo) on a sunny July afternoon
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Steen Jany: Integrating deep learning with physics and control theory
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...
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Talos WB-MPC push recovery
by Ewen Dantec
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Robin Deits: Momentum and Manipulation with Atlas (talk at JNRH 2023, Bordeaux, France)
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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