Florian GOLEMO - Admis au titre de docteur

florian.golemo@inria.fr
fgolemo@gmail.com

Projet professionnel :

enseignant-chercheur, enseignant du supérieur
chercheur en milieu académique

Doctorat Informatique

Thèse soutenue le 19 décembre 2018 - Université de Bordeaux

Ecole doctorale : Mathématiques et Informatique

Sujet : comment dresser votre robot - nouveaux environnements de formation robotique et nouvelles méthodes de transfert de stratégies du simulateur au vrai robot

Mots-clés de la thèse : Deep Learning,compréhension de la langue,Robots,Simulation,Sim2Real,

Direction de thèse : Pierre-Yves OUDEYER

Unité de recherche : Institut national de recherche en informatique et en automatique - Bordeaux - Sud-Ouest INRIA - Talence
Intitulé de l'équipe : FLOWERS

Master Européen - Master of Science, Artificial Intelligence

obtenu en novembre 2015 - Université libre d'Amsterdam
Option : Cognitive Science

Production scientifique

- Rajeswar, Saj and Mannan, Fahim and Vazquez, David and Golemo, Florian and Nowrouzezahrai, Derek and Courville, Aaron 2018. Pix2Scene: Learning Implicit 3D Representations from Images 7th International Conference on Learning Representations (ICLR) 2019, 0,
- Florian Golemo, Adrien Taïga, Pierre-Yves Oudeyer, Aaron Courville 2018. Sim-to-Real Transfer with Neural-Augmented Robot Simulation , , https://hal.inria.fr/hal-01911978/document
- Censi, Andrea and Paull, Liam and Tani, Jacopo and Zilly, Julian and Ackermann, Thomas and Beijbom, Oscar and Berkai, Berabi and Bernasconi, Gianmarco and Bowser, Anne Kirsten and Bing, Simon and Chen, Pin-Wei David and Chen, Yu-Chen and Chevalier-Boisvert, Maxime and Considine, Breandan and Daniele, Andrea and De Castri, Justin and Di Cicco, Maurilio and Diaz, Manfred and Diederichs, Paul Aurel and Golemo, Florian and Hristov, Ruslan and Hsu, Lily and Huang, Yi-Wei Daniel and Hung, Chen-Hao Peter and Jia, Qing-Shan and Kindle, Julien and Lapandic, Dzenan and Lu, Cheng-Lung and Mallya, Sunil and Mehta, Bhairav and Neff, Aurel and Nice, Eryk and Ou, Yang-Hung Allen and Qbaich, Abdelhakim and Quack, Josefine and Ruch, Claudio and Sigal, Adam and Stolz, Niklas and Unghia, Alejandro and Weber, Ben and Wilson, Sean and Xia, Zi-Xiang and Yasin, Timothius Victorio and Yogarajah, Nivethan and Bengio, Yoshua and Zhang, Tao and Wang, Hsueh-Cheng and Walter, Matthew and Soatto, Stefano and Egerstedt, Magnus and Frazzoli, Emilio 2018. The AI Driving Olympics at NIPS 2018 Robotics: Science and Systems (RSS) 2018, Workshop Track, 0,
- Pablo Azagra, Florian Golemo, Yoan Mollard, Manuel Lopes, Javier Civera, Ana Murillo 2017. A Multimodal Dataset for Object Model Learning from Natural Human-Robot Interaction , , https://hal.inria.fr/hal-01567236/document
- Simon Brodeur, Ethan Perez, Ankesh Anand, Florian Golemo, Luca Celotti, Florian Strub, Jean Rouat, Hugo Larochelle, Aaron Courville 2017. HoME: a Household Multimodal Environment , ,
- Pablo Azagra, Yoan Mollard, Florian Golemo, Ana Murillo, Manuel Lopes, Javier Civera 2016. A Multimodal Dataset for Interactive and Incremental Learning of Object Models , , https://hal.inria.fr/hal-01402493/document
- Pablo Azagra, Yoan Mollard, Florian Golemo, Ana Cristina Murillo, Manuel Lopes, Javier Civera 2016. A Multimodal Human-Robot Interaction Dataset , , https://hal.inria.fr/hal-01402479/document
- Christian Zinke, Kyrill Meyer, Florian Golemo, Lars-Peter Meyer 2013. The Use of a Service Modeler Together with a PLM Software for the Management of Product-Related Services: A First Use-case-based Approach to Configure Service Components for Product-Related Services , AICT-409, pp.449-457, https://hal.inria.fr/hal-01461886/document

Dernière mise à jour le 21 décembre 2018