Zobrazeno 1 - 10
of 4 839
pro vyhledávání: '"Arlaud, A."'
Autor:
Hauptman, William
Publikováno v:
The British Art Journal, 2017 Apr 01. 17(3), 3-11.
Externí odkaz:
https://www.jstor.org/stable/26450242
Autor:
Mortensen, Simon A., Sander, Bjørn, Jensen, Rasmus K., Pedersen, Jan S., Golas, Monika, Jensenius, Jens C., Hansen, Annette G., Thiel, Steffen, Andersen, Gregers R.
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2017 Jul . 114(29), E5768-E5770.
Externí odkaz:
https://www.jstor.org/stable/26486692
Autor:
Hauptman, William
Publikováno v:
The British Art Journal, 2016 Oct 01. 17(2), 35-47.
Externí odkaz:
http://www.jstor.org/stable/24913907
Recent strides in nonlinear model predictive control (NMPC) underscore a dependence on numerical advancements to efficiently and accurately solve large-scale problems. Given the substantial number of variables characterizing typical whole-body optima
Externí odkaz:
http://arxiv.org/abs/2405.09197
Autor:
Ducat, Philippe
Publikováno v:
Esprit, 2019 May 01(454), 161-163.
Externí odkaz:
https://www.jstor.org/stable/26670461
In this work, we aim to learn a unified vision-based policy for multi-fingered robot hands to manipulate a variety of objects in diverse poses. Though prior work has shown benefits of using human videos for policy learning, performance gains have bee
Externí odkaz:
http://arxiv.org/abs/2404.15709
Publikováno v:
Intercongrès AFS 2023-Grenoble
Intercongrès AFS 2023-Grenoble, Université de Grenoble ; CIREC ; AFS, Jan 2023, Grenoble, France
Intercongrès AFS 2023-Grenoble, Université de Grenoble ; CIREC ; AFS, Jan 2023, Grenoble, France
En 2006, avec Jean Arlaud, nous avons expérimentéla réalisation d'un DVD vidéo associant des réalisations complémentaires à partir de films de terrain. Il s'agissait d'utiliser les nouveles possibilités des rich média : plusieurs films, plus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4047::ba04b0ee4b487f067512d0ea9d48f605
https://hal.science/hal-04097070
https://hal.science/hal-04097070
Autor:
Garcia, Ricardo, Strudel, Robin, Chen, Shizhe, Arlaud, Etienne, Laptev, Ivan, Schmid, Cordelia
Learning visuomotor policies in simulation is much safer and cheaper than in the real world. However, due to discrepancies between the simulated and real data, simulator-trained policies often fail when transferred to real robots. One common approach
Externí odkaz:
http://arxiv.org/abs/2307.15320
In robotics, designing robust algorithms in the face of estimation uncertainty is a challenging task. Indeed, controllers often do not consider the estimation uncertainty and only rely on the most likely estimated state. Consequently, sudden changes
Externí odkaz:
http://arxiv.org/abs/2305.11573
Publikováno v:
Il Foro Italiano, 1965 Jan 01. 88(1), 21/22-23/24.
Externí odkaz:
https://www.jstor.org/stable/23153968