Home » Teams » Amac » Miranda Coninx
  • Miranda Coninx

  • Associate professor
  • Team: Amac
  • Email: miranda.coninx@isir.upmc.fr
  • Bio: Research topics : - Evolutionary methods for behavioral repertoire generation, applied to simulated and real robots - Representation learning - Theoretical study of quality-diversity and novelty-based methods - Robot grasping and object manipulation Teaching - at Polytech Sorbonne : - Coordinator of the 4th year of the Robotics program ; I teach the System Programming and Object-Oriented Programming courses - AI for Robotics course in the 5th year of the Robotics program - Userspace system programming and Introduction to AI courses in the 4th year of the embedded systems program Biographie 2016 - présent : Maître de conférences à l'ISIR 2015 - 2016 : Chercheur contractuel à l'ISIR dans le cadre du projet BAMBI. 2013 - 2014 : Chercheur associé au Personal Robotics Lab, Imperial College London 2012 : Post-doctorant à l'ISIR dans le cadre du projet EvoNeuro. 2009 - 2012 : Thèse d'informatique, Université de Grenoble, sous la direction de G.-P. Bonneau et J. Droulez : Visualisation interactive de grands volumes de données incertaines : pour une approche perceptive. 2007 - 2008 : M2 Recherche en Sciences Cognitives (CogMaster), ENS Ulm / EHESS / Univ. Paris 5 Descartes, spécialité Neurosciences Computationnelles. 2003 - 2006 : Ingénieur Ecole Centrale Paris, option Systèmes Avancés

Publications

  • Johann Huber, François Hélénon, Miranda Coninx, Faïz Benamar, Stephane Doncieux. Quality Diversity under Sparse Interaction and Sparse Reward: Application to Grasping in Robotics. 2024. ⟨hal-04719545⟩
  • Johann Huber, Oumar Sane, Miranda Coninx, Faïz Ben Amar, Stéphane Doncieux. Diversity Search for the Generation of Diverse Grasping Trajectories. GECCO '23 Companion, Jul 2023, Lisbon (Portugal), Portugal. pp.151-154, ⟨10.1145/3583133.3590718⟩. ⟨hal-04719449⟩
  • Aurélien Morel, Yakumo Kunimoto, Alex Coninx, Stéphane Doncieux. Automatic Acquisition of a Repertoire of Diverse Grasping Trajectories through Behavior Shaping and Novelty Search. IEEE International Conference on Robotics and Automation 2022, IEEE, May 2022, Philadelphia, United States. ⟨hal-03625864⟩
  • Achkan Salehi, Alexandre Coninx, Stephane Doncieux. Few-shot Quality-Diversity Optimization. IEEE Robotics and Automation Letters, In press, 7 (2), pp.1-10. ⟨10.1109/LRA.2022.3148438⟩. ⟨hal-03569179⟩
  • Achkan Salehi, Alexandre Coninx, Stephane Doncieux. Geodesics, Non-linearities and the Archive of Novelty Search. GECCO '22: Genetic and Evolutionary Computation Conference, Jul 2022, Boston Massachusetts, United States. pp.156-159, ⟨10.1145/3520304.3528944⟩. ⟨hal-03661188⟩
  • Giuseppe Paolo, Alexandre Coninx, Stéphane Doncieux, Alban Laflaquière. Sparse Reward Exploration via Novelty Search and Emitters. The Genetic and Evolutionary Computation Conference 2021 (GECCO 2021), Jul 2021, Lille, France. ⟨10.1145/3449639.3459314⟩. ⟨hal-03200022⟩
  • Salehi Achkan, Alexandre Coninx, Stephane Doncieux. BR-NS: an Archive-less Approach to Novelty Search. The Genetic and Evolutionary Computation Conference, Jul 2021, Lille, France. pp.172-179, ⟨10.1145/3449639.3459303⟩. ⟨hal-03344296⟩
  • Seungsu Kim, Alexandre Coninx, Stephane Doncieux. From exploration to control: Learning object manipulation skills through novelty search and local adaptation. Robotics and Autonomous Systems, 2021, 136, pp.103710. ⟨10.1016/j.robot.2020.103710⟩. ⟨hal-03432702⟩
  • Astrid Merckling, Alexandre Coninx, Loic Cressot, Stephane Doncieux, Nicolas Perrin. State Representation Learning from Demonstration. 6th International Conference on Machine Learning, Optimization, and Data Science, LOD 2020, Jul 2020, Siena, Italy. ⟨hal-03083156⟩
  • Stephane Doncieux, Giuseppe Paolo, Alban Laflaquière, Alexandre Coninx. Novelty Search makes Evolvability Inevitable. GECCO '20, Jul 2020, Cancun, Mexico. ⟨10.1145/3377930.3389840⟩. ⟨hal-02561763⟩
  • Stephane Doncieux, Nicolas Bredeche, Léni Kenneth Le Goff, Benoît Girard, Alexandre Coninx, et al.. DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics. 2020. ⟨hal-02562103⟩
  • Giuseppe Paolo, Alban Laflaquière, Alexandre Coninx, Stephane Doncieux. Unsupervised Learning and Exploration of Reachable Outcome Space. IEEE International Conference on Robotics and Automation (ICRA), 2020, Paris, France. ⟨10.1109/icra40945.2020.9196819⟩. ⟨hal-02951255⟩
  • Léni K. Le Goff, Emma Hart, Alexandre Coninx, Stéphane Doncieux. On pros and cons of evolving topologies with novelty search. Artificial Life Conference Proceedings, 2020, Montréal, Canada. pp.423-431. ⟨hal-02987420⟩
  • Stephane Doncieux, Alban Laflaquière, Alexandre Coninx. Novelty search: a Theoretical Perspective. GECCO '19: Genetic and Evolutionary Computation Conference, Jul 2019, Prague Czech Republic, France. pp.99-106, ⟨10.1145/3321707.3321752⟩. ⟨hal-02561846⟩
  • Stéphane Doncieux, David Filliat, Natalia Díaz-Rodríguez, Timothy Hospedales, Richard Duro, et al.. Open-Ended Learning: A Conceptual Framework Based on Representational Redescription. Frontiers in Neurorobotics, 2018, 12, pp.59. ⟨10.3389/fnbot.2018.00059⟩. ⟨hal-01889947⟩
  • Jocelyn Martin, Alexandre Coninx, Mohamed Chetouani, Peter Ford Dominey, Victor Paléologue, et al.. Improving quality of life with a narrative companion. 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), Aug 2017, Lisbon, France. pp.127-134, ⟨10.1109/ROMAN.2017.8172291⟩. ⟨hal-02566787⟩
  • Alexandre Coninx, Pierre Bessière, Emmanuel Mazer, Jacques Droulez, Raphaël Laurent, et al.. Bayesian Sensor Fusion with Fast and Low Power Stochastic Circuits. IEEE International Conference on rebooting Computing, Oct 2016, San Diego, United States. ⟨hal-01374910⟩
  • Pierre Bessière, Jacques Droulez, Emmanuel Mazer, Raphael Laurent, Damien Querlioz, et al.. Machine stochastique modulaire et procédé associé. France, N° de brevet: FR 16 01463. 2016. ⟨hal-01399353⟩
  • Alexandre Coninx, Pierre Bessière, Jacques Droulez. Quick and energy-efficient bayesian computing of binocular disparity using stochastic digital signals. 2016. ⟨hal-01366558⟩
  • Alexandre Coninx, Pierre Bessière, Jacques Droulez. Quick and energy-efficient Bayesian computing of binocular disparity using stochastic digital signals. International Journal of Approximate Reasoning, 2016, ⟨10.1016/j.ijar.2016.11.004⟩. ⟨hal-01398148⟩
  • Alexandre Coninx. Visualisation interactive de grands volumes de données incertaines : pour une approche perceptive. Mathématiques générales [math.GM]. Université de Grenoble, 2012. Français. ⟨NNT : 2012GRENM039⟩. ⟨tel-00749885v2⟩
  • Alexandre Coninx, Georges-Pierre Bonneau, Jacques Droulez, Guillaume Thibault. Visualization of uncertain scalar data fields using color scales and perceptually adapted noise. ACM SIGGRAPH Symposium on Applied Perception in Graphics and Visualization (APGV), SIGGRAPH, Aug 2011, Toulouse, France. pp.59-66, ⟨10.1145/2077451.2077462⟩. ⟨inria-00600161v2⟩
  • Alexandre Coninx, Agnès Guillot, Benoît Girard. Adaptive motivation in a biomimetic action selection mechanism. Deuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France. ⟨hal-00331576⟩