Nicolas Duminy
- IMT Atlantique (IMT Atlantique)
- Département de Science des Données (IMT Atlantique - DSD)
- Equipe DECIDE (Lab-STICC_DECIDE)
Présentation
I work as a supporting role for the researchers of the DSD department at IMT Atlantique since 2021. I am deeply involved in the Decion Deck consortium, for which I helped release the 4.0 version of the Diviz software for Multi-Criteria Decision Aiding. Now I am currently working on different projects: Development of a virtual reality platform for Location Based Virtual Reality inside IMT Atlantique business incubator. Explorative Post-Doc on 3D printing as a service and Industry 4.0 inside the P4S team of the computer engineering department. Development and experimentations on the ABB YuMi industrial robot of the developmental robotics algorithms developed during my thesis.Research & Development engineer at IMT Atlantique, Brest campus
Previous positions
2020: Self Employed
May - December 2019: Post-Doc at IMT Atlantique, Brest campus
November 2018 - April 2019: R&D engineer at IMT Atlantique, Brest campus
Publications
Publications
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Intrinsically Motivated Open-Ended Multi-Task Learning Using Transfer Learning to Discover Task HierarchyApplied Sciences, 2021, 11 (3), pp.975. ⟨10.3390/app11030975⟩ |
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Robots Learn Increasingly Complex Tasks with Intrinsic Motivation and Automatic Curriculum LearningKI - Künstliche Intelligenz, 2021, 35 (81-90), ⟨10.1007/s13218-021-00708-8⟩ |
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Learning a set of interrelated tasks by using a succession of motor policies for a socially guided intrinsically motivated learnerFrontiers in Neurorobotics, 2019, ⟨10.3389/fnbot.2018.00087⟩ |
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DynBenchmark: Customizable Ground Truths to Benchmark Community Detection and Tracking in Temporal NetworksFrance's International Conference on Complex Systems (FRCCS 2025), May 2025, Bordeaux, France. pp.74-85, ⟨10.1007/978-3-032-00206-8_8⟩ |
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Découverte et exploitation de la hiérarchie des tâches par motivation intrinsèqueRéunion "Apprentissage et Robotique", GDR ISIS; GDR Robotique, Jun 2020, Visioconférence, France |
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Learning Sequences of Policies by using an Intrinsically Motivated Learner and a Task HierarchyWorkshop on Continual Unsupervised Sensorimotor Learning, ICDL-EpiRob 2018, Sep 2018, Tokyo, Japan |
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Effects of social guidance on a robot learning sequences of policies in hierarchical learningSMC 2018 : IEEE International Conference on Systems, Man and Cybernetics, Oct 2018, Miyazaki, Japan. pp.3755 - 3760, ⟨10.1109/SMC.2018.00636⟩ |
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Learning a Set of Interrelated Tasks by Using Sequences of Motor Policies for a Strategic Intrinsically Motivated Learner2018 Second IEEE International Conference on Robotic Computing (IRC), Jan 2018, Laguna Hills, France. pp.288 - 291, ⟨10.1109/IRC.2018.00061⟩ |
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Strategic and interactive learning of a hierarchical set of tasks by the Poppy humanoid robotICDL-EpiRob 2016 : 6th Joint IEEE International Conference Developmental Learning and Epigenetic Robotics, Sep 2016, Cergy-Pontoise, France. pp.204 - 209, ⟨10.1109/DEVLRN.2016.7846820⟩ |
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Discovering and exploiting the task hierarchy to learn sequences of motor policies for a strategic and interactive robotComputer science. Université de Bretagne Sud, 2018. English. ⟨NNT : 2018LORIS513⟩ |