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  • The Inria's Research Teams produce an annual Activity Report presenting their activities and their results of the year. These reports include the team members, the scientific program, the software developed by the team and the new results of the year. The report also describes the grants, contracts and the activities of dissemination and teaching. Finally, the report gives the list of publications of the year.

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Bibliography

Publications of the year

Articles in International Peer-Reviewed Journals

  • 1J.-M. Salotti, E. Ferreri, O. Ly, D. Daney.

    Classification des Systèmes Cobotiques, in: Ingénierie cognitique, January 2018, vol. 1, no 1.

    https://hal.archives-ouvertes.fr/hal-01943946
  • 2J. M. Salotti.

    Bayesian network for the prediction of situation awareness errors, in: International Journal of Human Factors Modelling and Simulation, January 2018, vol. 6, no 2/3, pp. 119-126.

    https://hal.inria.fr/hal-01944420

International Conferences with Proceedings

  • 3J.-M. Salotti.

    European Mars mission architecture using an enhanced Ariane launcher, in: 69th International Astronautical Congress, Bremen, Germany, IAC-18,A5,2,3,x42434, October 2018.

    https://hal.inria.fr/hal-01944356
  • 4J.-M. Salotti.

    Mars sample return as a key step before manned missions, in: 2nd International Mars Sample Return Conference, Berlin, Germany, April 2018.

    https://hal.inria.fr/hal-01945732

National Conferences with Proceedings

  • 5J. Colombel, D. Daney, B. Busch.

    ROS for Human Movement Analysis and Musculoskeletal Risk Prevention, in: Journées Nationales sur ROS, Toulouse, France, June 2018.

    https://hal.inria.fr/hal-01955378

Scientific Books (or Scientific Book chapters)

  • 6A. Massein, D. Daney, Y. Papegay.

    Robust Design of Parameter Identification, in: Advances in Robot Kinematics 2016, J. Lenarčič, J.-P. Merlet (editors), Springer Proceedings in Advanced Robotics, Springer International Publishing AG, 2018, vol. 4. [ DOI : 10.1007/978-3-319-56802-7_33 ]

    https://hal.inria.fr/hal-01531034

Internal Reports

  • 7A. Chevallier, S. Pion, F. Cazals.

    Hamiltonian Monte Carlo with boundary reflections, and application to polytope volume calculations, Inria Sophia Antipolis, France, November 2018, no RR-9222.

    https://hal.archives-ouvertes.fr/hal-01919855

Scientific Popularization

Patents

  • 9G. Pugach, D. Daney.

    Textile intelligent adapté pour la détection de mouvement et/ou de déformation, November 2018, no FR1860192.

    https://hal.inria.fr/hal-01944282
References in notes
  • 10Numii, la santé au travail à l’ère du digital, 2018.

    https://www.inria.fr/centre/bordeaux/actualites/numii-r-la-sante-au-travail-a-l-ere-du-digital
  • 11NCES 2018: Numii/AIO se rêve en acteur incontournable de la santé au travail, 2018.

    https://objectifaquitaine.latribune.fr/business/2018-01-11/ces-2018-numii-aio-se-reve-en-acteur-incontournable-de-la-sante-au-travail-764274.html
  • 12J. Bernon, E. Escriva, J. M. Schweitzer.

    Agir sur la prévention durable des TMS, Anact, 2011.
  • 13V. Bonnet, V. Richard, V. Camomilla, G. Venture, A. Cappozzo, R. Dumas.

    Joint kinematics estimation using a multi-body kinematics optimisation and an extended Kalman filter, and embedding a soft tissue artefact model, in: Journal of Biomechanics, 2017.
  • 14R. Brooks.

    The Robots Are Here, MIT Technology Review, 2004.
  • 15P. Douillet.

    Agir sur Prévenir les risques psychosociaux, Anact, 2013.
  • 16M. Endsley, D. G. Jones.

    Designing for Situation Awareness: An Approach to User-Centered Design, Taylor & Francis, London, 2012.
  • 17D. Ferris.

    The exoskeletons are here, in: Journal of NeuroEngineering and Rehabilitation, June 2009, vol. 6, no 1.

    http://dx.doi.org/10.1186/1743-0003-6-17
  • 18D. P. Ferris, G. S. Sawicki, M. A. Daley.

    A physiologist's perspective on robotic exoskeletons for human locomotion, in: International journal of Humanoid Robotics, September 2007, vol. 4, no 3, pp. 507–528.

    http://dx.doi.org/10.1142/S0219843607001138
  • 19A. Groth, M. Ghil.

    Monte Carlo singular spectrum analysis (SSA) revisited: Detecting oscillator clusters in multivariate datasets, in: Journal of Climate, 2015, vol. 28, no 19, pp. 7873–7893.
  • 20S. Haddadin, E. Croft.

    Physical Human-Robot Interaction, in: Handbook of Robotics, B. Siciliano, O. Khatib (editors), Springer Verlag, 2016, pp. 1835–1874.
  • 21S. Hignett, L. McAtamney.

    Rapid Entire Body Assessment (REBA), in: Applied Ergonomics, April 2000, vol. 31, no 2, pp. 201–205. [ DOI : 10.1016/S0003-6870(99)00039-3 ]

    http://www.sciencedirect.com/science/article/pii/S0003687099000393
  • 22J. Jacquier-Bret, P. Gorce, G. Motti Lilian, N. Vigouroux.

    Biomechanical analysis of upper limb during the use of touch screen: motion strategies identification, in: Ergonomics, March 2017, vol. 60, no 3, pp. 358–365.

    http://dx.doi.org/10.1080/00140139.2016.1175671
  • 23H. Jaeger.

    Using Conceptors to Manage Neural Long-Term Memories for Temporal Patterns, in: Journal of Machine Learning Research, 2017, vol. 18, no 13, pp. 1-43.

    http://jmlr.org/papers/v18/15-449.html
  • 24L. Joseph, V. Padois, G. Morel.

    Towards X-ray medical imaging with robots in the open: safety without compromising performances, in: Proceedings of the IEEE International Conference on Robotics and Automation, Brisbane, Australia, May 2018, pp. 6604–6610. [ DOI : 10.1109/ICRA.2018.8460794 ]

    https://hal.archives-ouvertes.fr/hal-01614508/en
  • 25O. Karhu, P. Kansi, I. Kuorinka.

    Correcting working postures in industry: A practical method for analysis, in: Applied Ergonomics, December 1977, vol. 8, no 4, pp. 199–201. [ DOI : 10.1016/0003-6870(77)90164-8 ]

    http://www.sciencedirect.com/science/article/pii/0003687077901648
  • 26D. Kee, W. Karwowski.

    LUBA: an assessment technique for postural loading on the upper body based on joint motion discomfort and maximum holding time, in: Applied Ergonomics, August 2001, vol. 32, no 4, pp. 357–366. [ DOI : 10.1016/S0003-6870(01)00006-0 ]

    http://www.sciencedirect.com/science/article/pii/S0003687001000060
  • 27X. Lamy.

    Conception d'une Interface de Pilotage d'un Cobot, Université Pierre et Marie Curie - Paris VI, March 2011.
  • 28S. E. Mathiassen.

    Diversity and variation in biomechanical exposure: What is it, and why would we like to know?, in: Applied Ergonomics, 2006, vol. 37, no 4, pp. 419 - 427, Special Issue: Meeting Diversity in Ergonomics. [ DOI : 10.1016/j.apergo.2006.04.006 ]

    http://www.sciencedirect.com/science/article/pii/S0003687006000482
  • 29P. Maurice.

    Virtual ergonomics for the design of collaborative robots, Université Pierre et Marie Curie - Paris VI, June 2015.
  • 30L. McAtamney, E. N. Corlett.

    RULA: a survey method for the investigation of work-related upper limb disorders, in: Applied ergonomics, 1993, vol. 24, no 2, pp. 91–99.
  • 31A. Meguenani, V. Padois, J. Da Silva, A. Hoarau, P. Bidaud.

    Energy-based control for safe Human-robot physical interactions, in: Springer Proceedings in Advanced Robotics - The 2016 International Symposium on Experimental Robotics, D. Kulic, G. Venture, Y. Nakamura, O. Khatib (editors), Springer International Publishing AG, 2017. [ DOI : 10.1007/978-3-319-50115-4_70 ]

    http://hal.archives-ouvertes.fr/hal-01398790/en
  • 32J. -P. Merlet, D. Daney.

    , Appropriate Design of Parallel ManipulatorsL. Wang, J. Xi (editors), Springer London, London, 2008, pp. 1–25.

    https://doi.org/10.1007/978-1-84800-147-3_1
  • 33T. Moulières-Seban, D. Bitonneau, J.-M. Salotti, J.-F. Thibault, B. Claverie.

    Human Factors Issues for the Design of a Cobotic System, in: Advances in Human Factors in Robots and Unmanned Systems, P. Savage-Knepshield, J. Chen (editors), Advances in Intelligent Systems and Computing, Springer International Publishing, 2017, pp. 375–385.
  • 34T. Moulières-Seban.

    Conception de systèmes cobotiques industriels : approche cognitique : application à la production pyrotechnique au sein d'Ariane Group, Université de Bordeaux, November 2017.

    https://hal.archives-ouvertes.fr/tel-01670146
  • 35B. Mutlu, N. Roy, S. Sabanovic.

    Cognitive Human-Robot Interactions, in: Handbook of Robotics, B. Siciliano, O. Khatib (editors), Springer Verlag, 2016, pp. 1907–1934.
  • 36D. Oetomo, D. Daney, J. Merlet.

    Design Strategy of Serial Manipulators With Certified Constraint Satisfaction, in: IEEE Transactions on Robotics, Feb 2009, vol. 25, no 1, pp. 1-11.

    http://dx.doi.org/10.1109/TRO.2008.2006867
  • 37A. Panchea.

    Inverse optimal control for redundant systems of biological motion, Orléans, December 2015.

    http://www.theses.fr/2015ORLE2050
  • 38R. Parasuraman, T. B. Sheridan, C. D. Wickens.

    A model for types and levels of human interaction with automation, in: IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, May 2000, vol. 30, no 3, pp. 286–297.

    http://dx.doi.org/10.1109/3468.844354
  • 39L. Peternel, T. Petrič, E. Oztop, J. Babič.

    Teaching Robots to Cooperate with Humans in Dynamic Manipulation Tasks Based on Multi-modal Human-in-the-loop Approach, in: Autonomous Robots, January 2014, vol. 36, no 1-2, pp. 123–136.

    http://dx.doi.org/10.1007/s10514-013-9361-0
  • 40L. Peternel, N. Tsagarakis, D. Caldwell, A. Ajoudani.

    Robot adaptation to human physical fatigue in human–robot co-manipulation, in: Autonomous Robots, June 2018, vol. 42, no 5, pp. 1011–1021.

    http://dx.doi.org/10.1007/s10514-017-9678-1
  • 41J. Salotti, E. Ferreri, O. Ly, D. Daney.

    Classification des Systèmes Cobotiques, in: Ingénierie cognitique, 2018, vol. 1, no 1.

    http://dx.doi.org/10.21494/ISTE.OP.2018.0268
  • 42J. Salotti.

    Bayesian Network for the Prediction of Situation Awareness Errors, in: International Journal on Human Factors Modeling and Simulation, January 2018, vol. Special Issue on: Quantifying Human Factors Towards Analytical Human-in-the-Loop.
  • 43J. Savin, M. Gilles, C. Gaudez, V. Padois, P. Bidaud.

    Movement Variability and Digital Human Models: Development of a Demonstrator Taking the Effects of Muscular Fatigue into Account, in: Advances in Applied Digital Human Modeling and Simulation, Cham, V. G. Duffy (editor), Springer International Publishing, 2017, pp. 169–179.
  • 44J. Scholtz.

    Theory and Evaluation of Human Robot Interactions, in: Proceedings of the 36th Annual Hawaii International Conference on System Sciences, Washington, DC, USA, 2003.
  • 45T. B. Sheridan.

    Human–Robot Interaction: Status and Challenges, in: Human Factors, June 2016, vol. 58, no 4, pp. 525–532.

    http://dx.doi.org/10.1177/0018720816644364
  • 46M. Sonne, D. L. Villalta, D. M. Andrews.

    Development and evaluation of an office ergonomic risk checklist: ROSA - Rapid Office Strain Assessment, in: Applied Ergonomics, January 2012, vol. 43, no 1, pp. 98–108. [ DOI : 10.1016/j.apergo.2011.03.008 ]

    http://www.sciencedirect.com/science/article/pii/S0003687011000433
  • 47D. Srinivasan, S. E. Mathiassen.

    Motor variability in occupational health and performance, in: Clinical Biomechanics, 2012, vol. 27, no 10, pp. 979–993. [ DOI : 10.1016/j.clinbiomech.2012.08.007 ]

    http://www.sciencedirect.com/science/article/pii/S0268003312001817
  • 48C. Viegas, D. Daney, M. Tavakoli, A. T. de Almeida.

    Performance analysis and design of parallel kinematic machines using interval analysis, in: Mechanism and Machine Theory, 2017, vol. 115, pp. 218 - 236. [ DOI : 10.1016/j.mechmachtheory.2017.05.003 ]

    http://www.sciencedirect.com/science/article/pii/S0094114X17305700
  • 49S. Walther, T. Guhl.

    Classification of physical human-robot interaction scenarios to identify relevant requirements, in: Proceedings of the 41st International Symposium on Robotics, June 2014, pp. 1–8.
  • 50J. R. Wilson, S. Sharples.

    Evaluation of Human Work, Fourth Edition, CRC Press, April 2015, Google-Books-ID: uXB3CAAAQBAJ.
  • 51H. A. Yanco, J. Drury.

    Classifying human-robot interaction: an updated taxonomy, in: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, October 2004, vol. 3, pp. 2841–2846.

    http://dx.doi.org/10.1109/ICSMC.2004.1400763