Members
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Partnerships and Cooperations
Dissemination
Bibliography
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Bibliography

Major publications by the team in recent years
  • 1M. Araya-López, O. Buffet, V. Thomas, F. Charpillet.
    A POMDP Extension with Belief-dependent Rewards, in: Neural Information Processing Systems - NIPS 2010, Vancouver, Canada, Advances in Neural Information Processing Systems 23, MIT Press, December 2010.
    https://hal.inria.fr/inria-00535560
  • 2A. Cully, J. Clune, D. Tarapore, J.-B. Mouret.
    Robots that can adapt like animals, in: Nature, May 2015, vol. 521, no 7553, pp. 503-507. [ DOI : 10.1038/nature14422 ]
    https://hal.archives-ouvertes.fr/hal-01158243
  • 3S. Ivaldi, S. Lefort, J. Peters, M. Chetouani, J. Provasi, E. Zibetti.
    Towards engagement models that consider individual factors in HRI: on the relation of extroversion and negative attitude towards robot to gaze and speech during a human-robot assembly task, in: International Journal of Social Robotics, June 2016, to appear (provisional acceptance).
    http://arxiv.org/abs/1508.04603
  • 4F. Pomerleau, F. Colas, R. Siegwart.
    A Review of Point Cloud Registration Algorithms for Mobile Robotics, in: Foundations and Trends in Robotics (FnTROB), 2015, vol. 4, no 1, pp. 1–104. [ DOI : 10.1561/2300000035 ]
    https://hal.archives-ouvertes.fr/hal-01178661
  • 5O. Simonin, F. Charpillet, E. Thierry.
    Revisiting wavefront construction with collective agents: an approach to foraging, in: Swarm Intelligence, June 2014, vol. 8, no 2, pp. 113-138. [ DOI : 10.1007/s11721-014-0093-3 ]
    https://hal.inria.fr/hal-00974068
Publications of the year

Doctoral Dissertations and Habilitation Theses

  • 6A. Dib.
    Toward a motion capture system in 3D for a mobile robot moving in a cluttered environment, Université de Lorraine, May 2016.
    https://hal.inria.fr/tel-01333772

Articles in International Peer-Reviewed Journals

  • 7M. Amblard, A. Boumaza.
    Human Robots, Are You Real Then?, in: Iride, 2016, vol. XXIX, no 2, pp. 287-298. [ DOI : 10.1414/84251 ]
    https://hal.inria.fr/hal-01391754
  • 8P. Bessière, J. Diard, F. Colas.
    Modèles probabilistes formels pour problèmes cognitifs usuels, in: Intellectica - La revue de l’Association pour la Recherche sur les sciences de la Cognition (ARCo), June 2016, vol. 65, no 1, pp. 111-141.
    https://hal.archives-ouvertes.fr/hal-01345697
  • 9A. Cully, J.-B. Mouret.
    Evolving a Behavioral Repertoire for a Walking Robot, in: Evolutionary Computation, 2016, vol. 24, no 1, 33 p. [ DOI : 10.1162/EVCO_a_00143 ]
    https://hal.inria.fr/hal-01095543
  • 10M. Daher, A. Diab, M. El Badaoui El Najjar, M. Khalil, F. Charpillet.
    Automatic Fall Detection System using Sensing Floors, in: International Journal of Computing and Information Sciences (IJCIS), December 2016, vol. 12, no 1, pp. 75-82. [ DOI : 10.21700/ijcis.2016.110 ]
    https://hal.archives-ouvertes.fr/hal-01393478
  • 11M. Daher, A. Diab, M. El Badaoui El Najjar, M. Khalil, F. Charpillet.
    Elder Tracking and Fall Detection System using Smart Tiles, in: IEEE Sensors Journal, December 2016. [ DOI : 10.1109/JSEN.2016.2625099 ]
    https://hal.archives-ouvertes.fr/hal-01393492
  • 12J. S. Dibangoye, C. Amato, O. Buffet, F. Charpillet.
    Optimally Solving Dec-POMDPs as Continuous-State MDPs, in: Journal of Artificial Intelligence Research, February 2016, vol. 55, pp. 443-497. [ DOI : 10.1613/jair.4623 ]
    https://hal.inria.fr/hal-01279444
  • 13I. Gaudiello, E. Zibetti, S. Lefort, M. Chetouani, S. Ivaldi.
    Trust as indicator of robot functional and social acceptance. An experimental study on user conformation to iCub answers, in: Computers in Human Behavior, 2016. [ DOI : 10.1016/j.chb.2016.03.057 ]
    https://hal.inria.fr/hal-01298502
  • 14S. Ivaldi, J. Babič, M. Mistry, R. Murphy.
    Special Issue on Whole-body control of contacts and dynamics for humanoid robots, in: Autonomous Robots, January 2016. [ DOI : 10.1007/s10514-016-9545-5 ]
    https://hal.archives-ouvertes.fr/hal-01258282
  • 15S. Ivaldi, S. Lefort, J. Peters, M. Chetouani, J. Provasi, E. Zibetti.
    Towards engagement models that consider individual factors in HRI: on the relation of extroversion and negative attitude towards robots to gaze and speech during a human-robot assembly task : Experiments with the iCub humanoid robot, in: International Journal of Social Robotics, 2016. [ DOI : 10.1007/s12369-016-0357-8 ]
    https://hal.inria.fr/hal-01322231
  • 16L. Jolly, F. Pittet, J.-P. Caudal, J.-B. Mouret, C. Houdelier, S. Lumineau, E. de Margerie.
    Animal-to-robot social attachment: initial requisites in a gallinaceous bird, in: Bioinspiration and Biomimetics, 2016, vol. 11, no 1, 016007. [ DOI : 10.1088/1748-3190/11/1/016007 ]
    https://hal-univ-rennes1.archives-ouvertes.fr/hal-01274231
  • 17H. Mengistu, J. Huizinga, J.-B. Mouret, J. Clune.
    The Evolutionary Origins of Hierarchy, in: PLoS Computational Biology, 2016, vol. 12, no 6, 23 p. [ DOI : 10.1371/journal.pcbi.1004829.s021 ]
    https://hal.inria.fr/hal-01330681
  • 18J.-B. Mouret.
    Micro-Data Learning: The Other End of the Spectrum, in: ERCIM News, September 2016, no 107, 2 p.
    https://hal.inria.fr/hal-01374786
  • 19V. Padois, S. Ivaldi, J. Babič, M. Mistry, J. Peters, F. Nori.
    Whole-body multi-contact motion in humans and humanoids: Advances of the CoDyCo European project, in: Robotics and Autonomous Systems, 2016. [ DOI : 10.1016/j.robot.2016.08.017 ]
    https://hal.archives-ouvertes.fr/hal-01399360

International Conferences with Proceedings

  • 20A. D. Fava, K. Bouyarmane, K. Chappellet, E. Ruffaldi, A. Kheddar.
    Multi-Contact Motion Retargeting from Human to Humanoid Robot, in: IEEE-RAS International Conference on Humanoid Robots, Cancun, Mexico, Proceedings of the IEEE-RAS International Conference on Humanoid Robots, November 2016.
    https://hal.archives-ouvertes.fr/hal-01414986
  • 21J. Huizinga, J.-B. Mouret, J. Clune.
    Does Aligning Phenotypic and Genotypic Modularity Improve the Evolution of Neural Networks?, in: Proceedings of the 25th Genetic and Evolutionary Computation Conference (GECCO), Denver, France, ACM, 2016, pp. 125 - 132. [ DOI : 10.1145/2908812.2908836 ]
    https://hal.inria.fr/hal-01402502
  • 22A. Malaisé, S. Nertomb, F. Charpillet, S. Ivaldi.
    Towards collaboration between professional caregivers and robots - A preliminary study, in: International Conference on Social Robotics - Workshop “Using social robots to improve the quality of life in the elderly”, Kansas City, United States, November 2016.
    https://hal.inria.fr/hal-01377708
  • 23S. Marichal, A. Malaisé, V. Modugno, O. Dermy, F. Charpillet, S. Ivaldi.
    One-shot Evaluation of the Control Interface of a Robotic Arm by Non-Experts, in: International Conference on Social Robotics, Kansas City, United States, November 2016.
    https://hal.inria.fr/hal-01353809
  • 24V. Modugno, U. Chervet, G. Oriolo, S. Ivaldi.
    Learning soft task priorities for safe control of humanoid robots with constrained stochastic optimization, in: IEEE-RAS International Conference on Humanoid Robots (HUMANOIDS), Cancun, Mexico, November 2016.
    https://hal.inria.fr/hal-01377690
  • 25V. Modugno, G. Neumann, E. Rueckert, G. Oriolo, J. Peters, S. Ivaldi.
    Learning soft task priorities for control of redundant robots, in: IEEE International Conference on Robotics and Automation (ICRA 2016), Stockholm, Sweden, May 2016.
    https://hal.archives-ouvertes.fr/hal-01273409
  • 26V. Q. Nguyen, F. Colas, E. Vincent, F. Charpillet.
    Localizing an Intermittent and Moving Sound Source Using a Mobile Robot, in: International Conference on Intelligent Robots and Systems (IROS), Deajeon, South Korea, October 2016.
    https://hal.archives-ouvertes.fr/hal-01354006
  • 27X. S. Nguyen, T. P. Nguyen, F. Charpillet.
    Effective Surface Normals Based Action Recognition in Depth Images, in: ICPR 2016 - 23rd International Conference on Pattern Recognition, Cancun, Mexico, December 2016.
    https://hal.inria.fr/hal-01409021
  • 28X. S. Nguyen, T. P. Nguyen, F. Charpillet.
    Improving Surface Normals Based Action Recognition in Depth Images, in: 13th International Conference on Advanced Video and Signal-Based Surveillance, Colorado Springs, United States, August 2016.
    https://hal.inria.fr/hal-01409043
  • 29M. Rio, F. Colas, M. Andries, F. Charpillet.
    Probabilistic sensor data processing for robot localization on load-sensing floors, in: IEEE International Conference on Robotics and Automation (ICRA), Stockholm, Sweden, May 2016.
    https://hal.inria.fr/hal-01274696
  • 30D. Tarapore, J. Clune, A. Cully, J.-B. Mouret.
    How Do Different Encodings Influence the Performance of the MAP-Elites Algorithm?, in: Genetic and Evolutionary Computation Conference, Denver, United States, 2016. [ DOI : 10.1145/2908812.2908875 ]
    https://hal.inria.fr/hal-01302658
  • 31S. Wang, F. Colas, M. Liu, F. Mondada, S. Magnenat.
    Localization of inexpensive robots with low-bandwidth sensors, in: 13th International Symposium on Distributed Autonomous Robotic Systems, London, United Kingdom, November 2016.
    https://hal.inria.fr/hal-01379218

Conferences without Proceedings

  • 32K. Chatzilygeroudis, A. Cully, J.-B. Mouret.
    Towards semi-episodic learning for robot damage recovery, in: Workshop on AI for Long-Term Autonomy at the IEEE International Conference on Robotics and Automation (ICRA), Stockholm, Sweden, Lars Kunze and Nick Hawes and Tom Duckett and Gabe Sibley, May 2016.
    https://hal.inria.fr/hal-01376288
  • 33V. Papaspyros, K. Chatzilygeroudis, V. Vassiliades, J.-B. Mouret.
    Safety-Aware Robot Damage Recovery Using Constrained Bayesian Optimization and Simulated Priors, in: Bayesian Optimization: Black-box Optimization and Beyond (workshop at NIPS), Barcelone, France, 2016.
    https://hal.inria.fr/hal-01407757

Internal Reports

Scientific Popularization

References in notes
  • 37M. Andries, F. Charpillet.
    Multi-robot taboo-list exploration of unknown structured environments, in: 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015), Hamburg, Germany, September 2015.
    https://hal.inria.fr/hal-01196008
  • 38M. Araya-López, O. Buffet, V. Thomas, F. Charpillet.
    A POMDP Extension with Belief-dependent Rewards, in: Neural Information Processing Systems - NIPS 2010, Vancouver, Canada, Advances in Neural Information Processing Systems 23, MIT Press, December 2010.
    https://hal.inria.fr/inria-00535560
  • 39T. Barfoot, J. Kelly, G. Sibley.
    Special Issue on Long-Term Autonomy, in: The International Journal of Robotics Research, 2013, vol. 32, no 14, pp. 1609–1610.
  • 40K. Chatzilygeroudis, V. Vassiliades, J.-B. Mouret.
    Reset-free Trial-and-Error Learning for Data-Efficient Robot Damage Recovery, in: arXiv:1610.04213, 2016.
  • 41J. Clune, J.-B. Mouret, H. Lipson.
    The evolutionary origins of modularity, in: Proc. R. Soc. B, The Royal Society, 2013, vol. 280, no 1755, 20122863.
  • 42A. Cully, J. Clune, D. Tarapore, J.-B. Mouret.
    Robots that can adapt like animals, in: Nature, May 2015, vol. 521, no 7553, pp. 503-507. [ DOI : 10.1038/nature14422 ]
    https://hal.archives-ouvertes.fr/hal-01158243
  • 43A. Del Prete, F. Nori, G. Metta, L. Natale.
    Prioritized Motion-Force Control of Constrained Fully-Actuated Robots: "Task Space Inverse Dynamics", in: Robotics and Autonomous Systems, 2014.
    http://dx.doi.org/10.1016/j.robot.2014.08.016
  • 44A. Dib, F. Charpillet.
    Pose Estimation For A Partially Observable Human Body From RGB-D Cameras, in: IEEE/RJS International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, September 2015, 8 p.
    https://hal.inria.fr/hal-01203638
  • 45A. Fansi Tchango, V. Thomas, O. Buffet, F. Flacher, A. Dutech.
    Simultaneous Tracking and Activity Recognition (STAR) using Advanced Agent-Based Behavioral Simulations, in: ECAI - Proceedings of the Twenty-first European Conference on Artificial Intelligence, Pragues, Czech Republic, August 2014.
    https://hal.inria.fr/hal-01073424
  • 46I. Fernández Pérez, A. Boumaza, F. Charpillet.
    Comparison of Selection Methods in On-line Distributed Evolutionary Robotics, in: ALIFE 14: The fourteenth international conference on the synthesis and simulation of living systems, New York, United States, Artificial Life 14, July 2014. [ DOI : 10.7551/978-0-262-32621-6-ch046 ]
    https://hal.inria.fr/hal-01091119
  • 47U. Frese.
    Interview: Is SLAM Solved?, in: KI - Künstliche Intelligenz, 2010, vol. 24, no 3, pp. 255-257.
    http://dx.doi.org/10.1007/s13218-010-0047-x
  • 48J. Kober, J. A. Bagnell, J. Peters.
    Reinforcement Learning in Robotics: A Survey, in: The International Journal of Robotics Research, August 2013.
  • 49S. Koos, A. Cully, J.-B. Mouret.
    Fast damage recovery in robotics with the t-resilience algorithm, in: The International Journal of Robotics Research, 2013, vol. 32, no 14, pp. 1700–1723.
  • 50F. Pomerleau, P. Krüsi, F. Colas, P. Furgale, R. Siegwart.
    Long-term 3D map maintenance in dynamic environments, in: Robotics and Automation (ICRA), 2014 IEEE International Conference on, IEEE, 2014, pp. 3712–3719.
  • 51SPARC.
    Robotics 2020 Multi-Annual Roadmap, 2014.
    http://www.eu-robotics.net/ppp/objectives-of-our-topic-groups/
  • 52S. Saeed, M. Mohammad Bagher, G. D. Aliakbar.
    Multiple Target Tracking for Mobile Robots Using the JPDAF Algorithm, in: 2007 19th IEEE International Conference on Tools with Artificial Intelligence, IEEE Computer Society, 2007, vol. 01, pp. 137-145.
  • 53J. Shah, J. Wiken, B. Williams, C. Breazeal.
    Improved human-robot team performance using Chaski, A human-inspired plan execution system, in: ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2011, pp. 29-36.
  • 54D. Silver, J. Veness.
    Monte-Carlo Planning in Large POMDPs, in: Advances in Neural Information Processing Systems 23, Curran Associates, Inc., 2010, pp. 2164–2172.
  • 55O. Simonin, T. Huraux, F. Charpillet.
    Interactive Surface for Bio-inspired Robotics, Re-examining Foraging Models, in: 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Boca Raton, United States, IEEE, November 2011.
    https://hal.inria.fr/inria-00617155
  • 56N. Stefanov, A. Peer, M. Buss.
    Role determination in human-human interaction, in: 3rd Joint EuroHaptics Conf. and World Haptics, 2009, pp. 51-56.
  • 57R. S. Sutton, A. G. Barto.
    Introduction to Reinforcement Learning, MIT Press, 1998.
  • 58A. Tapus, M. Matarić, B. Scassellati.
    The grand challenges in Socially Assistive Robotics, in: IEEE Robotics and Automation Magazine - Special Issue on Grand challenges in Robotics, 2007, vol. 14, no 1, pp. 1-7.
  • 59V. Vassiliades, K. Chatzilygeroudis, J.-B. Mouret.
    Scaling Up MAP-Elites Using Centroidal Voronoi Tessellations, in: arXiv:1610.05729, 2016.
  • 60D. Wilson, C. Atkeson.
    Simultaneous Tracking and Activity Recognition (STAR) Using Many Anonymous, Binary Sensors, in: Pervasive Computing, H.-W. Gellersen, R. Want, A. Schmidt (editors), Lecture Notes in Computer Science, Springer Berlin Heidelberg, 2005, vol. 3468, pp. 62-79.
    http://dx.doi.org/10.1007/11428572_5
  • 61G. Wolbring, S. Yumakulov.
    Social Robots: Views of Staff of a Disability Service Organization, in: International Journal of Social Robotics, 2014, vol. 6, no 3, pp. 457-468.