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16

Associate Professor in Artificial Intelligence for Driving Autonomous Systems and Aerospace Vehicles


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Journal articles4 documents

  • Caroline Ponzoni Carvalho Chanel, Raphaëlle N. Roy, Frédéric Dehais, Nicolas Drougard. Towards Mixed-Initiative Human–Robot Interaction: Assessment of Discriminative Physiological and Behavioral Features for Performance Prediction. Sensors, MDPI, 2020, 20 (1), pp.296. ⟨10.3390/s20010296⟩. ⟨hal-03125169⟩
  • Raphaëlle N. Roy, Nicolas Drougard, Thibault Gateau, Frédéric Dehais, Caroline Ponzoni Carvalho Chanel. How Can Physiological Computing Benefit Human-Robot Interaction?. Robotics, MDPI, 2020, 9 (4), pp.100-124. ⟨10.3390/robotics9040100⟩. ⟨hal-03126528⟩
  • Frédéric Dehais, Alban Duprès, Sarah Blum, Nicolas Drougard, Sébastien Scannella, et al.. Monitoring Pilot’s Mental Workload Using ERPs and Spectral Power with a Six-Dry-Electrode EEG System in Real Flight Conditions. Sensors, MDPI, 2019, 19 (6), pp.1324. ⟨10.3390/s19061324⟩. ⟨hal-02100934⟩
  • Nicolas Drougard, Florent Teichteil-Konigsbuch, Jean-Loup Farges, Didier Dubois. Processus décisionnels de Markov possibilités à observabilité mixte. Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2015, vol. 29 (n° 6), pp. 629-653. ⟨10.3166/RIA.29.629-653⟩. ⟨hal-01530407⟩

Conference papers9 documents

  • Balita Rakotonarivo, Stéphane Conversy, Nicolas Drougard, Jérémie Garcia. Revue Systématique de la Littérature sur le Soutien à la Sécurité des Opérations de Drones. 32e Conférence Francophone sur l'Interaction Homme-Machine (IHM '20.21), Apr 2021, Metz, France. ⟨10.1145/3450522.3451328⟩. ⟨hal-03217297⟩
  • Frédéric Dehais, Grégoire Vergotte, Nicolas Drougard, Giuseppe Ferraro, Bertille Somon, et al.. AI can fool us humans, but not at the psycho-physiological level: a hyperscanning and physiological synchrony study. IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2021), Oct 2021, Virtual event, Australia. pp.0. ⟨hal-03384963⟩
  • Caroline Ponzoni Carvalho Chanel, Raphaëlle N. Roy, Frédéric Dehais, Nicolas Drougard. Mixed-Initiative Human-Automated Agents Teaming: Towards a Flexible Cooperation Framework. 22nd International Conference on Human-Computer Interaction - HCI INTERNATIONAL 2020, Jul 2020, Copenhagen, Denmark. pp.117-133, ⟨10.1007/978-3-030-49183-3_10⟩. ⟨hal-03125162⟩
  • Giorgio Angelotti, Nicolas Drougard, Caroline Ponzoni Carvalho Chanel. Offline Learning for Planning: A Summary. Bridging the Gap Between AI Planning and Reinforcement Learning (PRL), ICAPS 2020 Workshop, Oct 2020, Nancy, France. pp.153-161. ⟨hal-03125176⟩
  • Nicolas Drougard, Raphaëlle N. Roy, Sébastien Scannella, Frédéric Dehais, Caroline Ponzoni Carvalho Chanel. Physiological Assessment of Engagement during HRI: Impact of Manual vs Automatic Mode. 2nd International Neuroergonomics Conference, Jun 2018, Philadelphia, United States. pp.0. ⟨hal-01851982⟩
  • Nicolas Goix, Nicolas Drougard, Romain Brault, Mael Chiapino. One Class Splitting Criteria for Random Forests. The 9th Asian Conference on Machine Learning, Nov 2017, Seoul, South Korea. pp. 1-16. ⟨hal-01662421⟩
  • Nicolas Drougard, Didier Dubois, Jean-Loup Farges, Florent Teichteil-Königsbuch. Planning in Partially Observable Domains with Fuzzy Epistemic States and Probabilistic Dynamics. 9th International Conference on Scalable Uncertainty Management (SUM 2015), Sep 2015, Quebec, Canada. pp.220-233, ⟨10.1007/978-3-319-23540-0_15⟩. ⟨hal-01303819⟩
  • Nicolas Drougard, Florent Teichteil-Königsbuch, Jean-Loup Farges, Didier Dubois. Structured Possibilistic Planning Using Decision Diagrams. Conference on Artificial Intelligence - AAAI 2014, Jul 2014, Québec, Canada. pp. 2257-2263. ⟨hal-01136897⟩
  • Nicolas Drougard, Jean-Loup Farges, Florent Teichteil-Konigsbuch, Didier Dubois. Qualitative Possibilistic Mixed-Observable MDPs. 29th Conference on Uncertainty in Artificial Intelligence (UAI 2013), Jul 2013, Bellevue, Wash., United States. pp. 2257-2263. ⟨hal-01212921⟩

Preprints, Working Papers, ...2 documents

  • Giorgio Angelotti, Nicolas Drougard, Caroline Ponzoni Carvalho Chanel. Offline Learning for Planning: A Summary. 2020. ⟨hal-02963763⟩
  • Nicolas Goix, Nicolas Drougard, Romain Brault, Maël Chiapino. One Class Splitting Criteria for Random Forests. 2016. ⟨hal-01392563v2⟩

Theses1 document

  • Nicolas Drougard. Exploiting Imprecise Information Sources in Sequential Decision Making Problems under Uncertainty. Space Physics [physics.space-ph]. Institut Supérieur de l'Aéronautique et de l'Espace (ISAE), 2015. English. ⟨tel-01296749⟩