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  • Johann Huber

  • PhD Student
  • Team: ASIMOV
  • Email: johann (dot) huber [at] isir.upmc.fr
  • Phone:(+33)1 44 27 62 01
  • Bio: PhD research topic : "Learning to grasp" Associated fields : Evolutionary algorithms, robotics manipulation tasks, reinforcement learning (RL). Supervisors : Stéphane Doncieux, Faïz Ben Amar, and Alex Coninx. PhD thesis project supported by SCAI (Sorbonne Center for Artificial Intelligence).

Publications

  • Alejandro Suarez, Rainer Kartmann, Daniel Leidner, Luca Rossini, Johann Huber, et al.. Door-to-Door Parcel Delivery From Supply Point to User’s Home With Heterogeneous Robot Team: The euROBIN First-Year Robotics Hackathon. IEEE Robotics and Automation Magazine, 2025, 32 (3), pp.8-25. ⟨10.1109/MRA.2024.3501954⟩. ⟨hal-05313286⟩
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  • Amina Ferrad, Johann Huber, François Hélénon, Julien Gleyze, Mahdi Khoramshahi, et al.. Door-to-Door Parcel Delivery From Supply Point to User’s Home With Heterogeneous Robot Team: The euROBIN First-Year Robotics Hackathon. 2025. ⟨hal-05313301⟩
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  • Manon Flageat, Johann Huber, François Helenon, Stephane Doncieux, Antoine Cully. Extract-QD Framework: A Generic Approach for Quality-Diversity in Noisy, Stochastic or Uncertain Domains. GECCO '25: Genetic and Evolutionary Computation Conference, Jul 2025, NH Malaga Hotel Malaga Spain, France. pp.140-148, ⟨10.1145/3712256.3726404⟩. ⟨hal-05313280⟩
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  • Johann Huber, François Hélénon, Mathilde Kappel, Ignacio de Loyola Páez-Ubieta, Santiago Puente, et al.. Qdgset: a Large Scale Grasping Dataset Generated With Quality-Diversity. 2025 IEEE International Conference on Robotics and Automation (ICRA), May 2025, Atlanta, France. pp.01-08, ⟨10.1109/ICRA55743.2025.11127427⟩. ⟨hal-05313271⟩
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  • Johann Huber. Learning to Grasp in Robotics with Quality-Diversity Generated Data. Robotics [cs.RO]. Sorbonne Université, 2024. English. ⟨NNT : 2024SORUS411⟩. ⟨tel-04992607⟩
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  • François Hélénon, Johann Huber, Faïz Benamar, Stephane Doncieux. Toward a Plug-and-Play Vision-Based Grasping Module for Robotics. 2nd Workshop on Mobile Manipulation and Embodied Intelligence at ICRA 2024, May 2024, Yokohama, Japan. ⟨hal-04719524⟩
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  • Johann Huber, François Hélénon, Hippolyte Watrelot, Faïz Ben Amar, Stéphane Doncieux. Domain Randomization for Sim2real Transfer of Automatically Generated Grasping Datasets. 2024 IEEE International Conference on Robotics and Automation (ICRA), May 2024, Yokohama, Japan. pp.4112-4118, ⟨10.1109/ICRA57147.2024.10610677⟩. ⟨hal-04719478⟩
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  • Johann Huber, François Hélénon, Mathilde Kappel, Elie Chelly, Mahdi Khoramshahi, et al.. Speeding up 6-DoF Grasp Sampling with Quality-Diversity. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct 2024, Abu dahbi, United Arab Emirates. ⟨hal-04719505⟩
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  • Johann Huber, François Hélénon, Miranda Coninx, Faïz Benamar, Stephane Doncieux. Quality Diversity under Sparse Interaction and Sparse Reward: Application to Grasping in Robotics. Evolutionary Computation, In press, ⟨10.1162/evco_a_00363⟩. ⟨hal-04719545⟩
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  • 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⟩
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