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This page lists my scientific publications. You can download each of them in pdf as well as a separated bibtex reference. all_refs.bib contains all these references.

You can also check my Google Scholar page for more metrics.

Journal

  1. Pierre Bessière, Julien Diard, and Francis Colas. Modèles probabilistes formels pour problèmes cognitifs usuels. Intellectica, 65(1):111–141, 2016. [pdf] [bib]

  2. Gregory Hitz, François Pomerleau, Francis Colas, and Roland Siegwart. Relaxing the planar assumption: 3D state estimation for an autonomous surface vessel. The International Journal of Robotics Research, 34(13):1604–1621, 2015. [pdf] [bib]

  3. Ivana Kruijff-Korbayová, Francis Colas, Mario Gianni, Fiora Pirri, Joachim de Greeff, Koen Hindriks, Mark Neerincx, Petter Ögren, Tomáš Svoboda, and Rainer Worst. TRADR project: Long-term human-robot teaming for robot assisted disaster response. Künstliche Intelligenz, 29(2):193–201, 2015. [pdf] [bib]

  4. Vladimír Kubelka, Lorenz Oswald, François Pomerleau, Francis Colas, Tomáš Svoboda, and Michal Reinstein. Robust data fusion of multi-modal sensory information for mobile robots. Journal of Field Robotics, 32(4):447–473, 2015. [pdf] [bib]

  5. Ming Liu, Francis Colas, Luc Oth, and Roland Siegwart. Incremental topological segmentation for semi-structured environments using discretized GVG. Autonomous Robots, 38(2):143–160, 2015. [pdf] [bib]

  6. François Pomerleau, Francis Colas, and Roland Siegwart. A review of point cloud registration algorithms for mobile robotics. Foundations and Trends in Robotics, 4(1):1–104, 2015. [pdf] [bib]

  7. Geert-Jan M Kruijff, Ivana Kruijff-Korbayová, Shanker Keshavdas, Benoit Larochelle, Miroslav Janíček, Francis Colas, Ming Liu, François Pomerleau, Roland Siegwart, Mark Neerincx, et al. Designing, developing, and deploying systems to support human-robot teams in disaster response. Advanced Robotics, 28(23):1547–1570, 2014. [pdf] [bib]

  8. François Pomerleau, Francis Colas, Roland Siegwart, and Stéphane Magnenat. Comparing ICP variants on real-world data sets. Autonomous Robots, 34(3):133–148, 2013. [pdf] [bib]

  9. François Pomerleau, Ming Liu, Francis Colas, and Roland Siegwart. Challenging data sets for point cloud registration algorithms. The International Journal of Robotics Research, 31(14):1705–1711, 2012. [pdf] [bib]

  10. Francis Colas, Julien Diard, and Pierre Bessière. Common Bayesian models for common cognitive issues. Acta Biotheoretica, 58(2-3):191–216, 2010. [pdf] [bib]

  11. Xavier Perrin, Ricardo Chavarriaga, Francis Colas, Roland Siegwart, and José del R Millán. Brain-coupled interaction for semi-autonomous navigation of an assistive robot. Robotics and Autonomous Systems, 58(12):1246–1255, 2010. [pdf] [bib]

  12. Francis Colas, Fabien Flacher, Thomas Tanner, Pierre Bessière, and Benoît Girard. Bayesian models of eye movement selection with retinotopic maps. Biological Cybernetics, 100(3):203–214, 2009. [pdf] [bib]

  13. Francis Colas, Jacques Droulez, Mark Wexler, and Pierre Bessière. A unified probabilistic model of the perception of three-dimensional structure from optic flow. Biological Cybernetics, 97(5):461–477, 2007. [pdf] [bib]

Book Chapter

  1. Francis Colas, Pierre Bessière, Jacques Droulez, and Mark Wexler. Bayesian modelling of perception of structure from motion. In Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, pages 301–328. Springer Berlin/Heidelberg, 2008. [pdf] [bib]

Conference

  1. Quan V. Nguyen, Francis Colas, Emmanuel Vincent, and François Charpillet. Localizing an intermittent and moving sound source using a mobile robot. In Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on, pages 1–6. IEEE, 2016. [pdf] [bib]

  2. Maxime Rio, Francis Colas, Mihai Andries, and François Charpillet. Probabilistic sensor data processing for robot localization on load-sensing floors. In Robotics and Automation (ICRA), 2016 IEEE International Conference on. IEEE, 2016. [pdf] [bib]

  3. Shiling Wang, Francis Colas, Ming Liu, Francesco Mondada, and Stéphane Magnenat. Localization of inexpensive robots with low-bandwidth sensors. In Distributed Autonomous Robotic Systems (DARS), 2016 International Symposium on, pages 1–14, 2016. [pdf] [bib]

  4. Gregory Hitz, François Pomerleau, Francis Colas, and Roland Siegwart. State estimation for shore monitoring using an autonomous surface vessel. In International Symposium on Experimental Robotics (ISER), 2014. [pdf] [bib]

  5. François Pomerleau, Philipp Krüsi, Francis Colas, Paul Furgale, and Roland Siegwart. Long-term 3D map maintenance in dynamic environments. In Robotics and Automation (ICRA), 2014 IEEE International Conference on, pages 3712–3719. IEEE, 2014. [pdf] [bib]

  6. Francis Colas, Srivatsa Mahesh, François Pomerleau, Ming Liu, and Roland Siegwart. 3D path planning and execution for search and rescue ground robots. In Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on, pages 722–727. IEEE, 2013. [pdf] [bib]

  7. Shanker Keshavdas, Hendrik Zender, Geert-Jan M Kruijff, Ming Liu, and Francis Colas. Functional mapping: spatial inferencing to aid human-robot rescue efforts in unstructured disaster environments. In Proceedings of the 2012 AAAI Spring Symposium on Designing Intelligent Robots, 2012. [pdf] [bib]

  8. Geert-Jan M Kruijff, Francis Colas, Tomáš Svoboda, Jurriaan van Diggelen, Patrick Balmer, Fiora Pirri, and Rainer Worst. Designing intelligent robots for human-robot teaming in urban search & rescue. In Proceedings of the AAAI 2012 Spring Symposium on Designing Intelligent Robots, 2012. [pdf] [bib]

  9. Geert-Jan M Kruijff, Miroslav Janíček, Shanker Keshavdas, Benoit Larochelle, Hendrik Zender, Nanja Smets, Tina Mioch, Mark Neerincx, Jurriaan van Diggelen, Francis Colas, et al. Experience in system design for human-robot teaming in urban search & rescue. In Proc. of 8th Int. Conf. on Field and Service Robotics (FSR 2012), Matsushima, Japan, Jul, 2012. [pdf] [bib]

  10. Ming Liu, Francis Colas, François Pomerleau, and Roland Siegwart. A Markov semi-supervised clustering approach and its application in topological map extraction. In Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference on, pages 4743–4748. IEEE, 2012. [pdf] [bib]

  11. Ming Liu, François Pomerleau, Francis Colas, and Roland Siegwart. Normal estimation for pointcloud using GPU based sparse tensor voting. In Robotics and Biomimetics (ROBIO), 2012 IEEE International Conference on, pages 91–96. IEEE, 2012. [pdf] [bib]

  12. Stéphane Magnenat, Cédric Pradalier, and Francis Colas. Towards non-parametric Bayesian learning of robot behaviors from demonstration. In NIPS Workshop on "Bayesian Nonparametric Models (BNPM) For Reliable Planning And Decision-Making Under Uncertainty", 2012. [pdf] [bib]

  13. François Pomerleau, Andreas Breitenmoser, Ming Liu, Francis Colas, and Roland Siegwart. Noise characterization of depth sensors for surface inspections. In Applied Robotics for the Power Industry (CARPI), 2012 2nd International Conference on, pages 16–21. IEEE, 2012. [pdf] [bib]

  14. Mario Gianni, Panagiotis Papadakis, Fiora Pirri, Ming Liu, Francois Pomerleau, Francis Colas, et al. A unified framework for planning and execution-monitoring of mobile robots. In Workshops at the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011. [pdf] [bib]

  15. Ming Liu, Francis Colas, and Roland Siegwart. Regional topological segmentation based on mutual information graphs. In Robotics and Automation (ICRA), 2011 IEEE International Conference on, pages 3269–3274. IEEE, 2011. [pdf] [bib]

  16. Xavier Perrin, Francis Colas, Ricardo Chavarriaga, Cédric Pradalier, José del R Millán, and Roland Siegwart. Learning user habits for semi-autonomous navigation using low throughput interfaces. In IEEE International Conference on Systems, Man, and Cybernetics (SMC), pages 1–6. IEEE, 2011. [pdf] [bib]

  17. François Pomerleau, Benoit Lescot, Francis Colas, Ming Liu, and Roland Siegwart. Dataset acquisitions for USAR environments. In 2011 AAAI Fall Symposium Series, 2011. [pdf] [bib]

  18. François Pomerleau, Stéphane Magnenat, Francis Colas, Ming Liu, and Roland Siegwart. Tracking a depth camera: parameter exploration for fast ICP. In Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International Conference on, pages 3824–3829. IEEE, 2011. [pdf] [bib]

  19. Janine Stocker, Aline Veillat, Stéphane Magnenat, Francis Colas, and Roland Siegwart. Towards adaptive robotic green plants. In Towards Autonomous Robotic Systems, pages 422–423. Springer Berlin/Heidelberg, 2011. [pdf] [bib]

  20. Jürgen Sturm, Stéphane Magnenat, Nikolas Engelhard, François Pomerleau, Francis Colas, Daniel Cremers, Roland Siegwart, and Wolfram Burgard. Towards a benchmark for RGB-D SLAM evaluation. In Proc. of the RGB-D Workshop on Advanced Reasoning with Depth Cameras at Robotics: Science and Systems Conf.(RSS), Los Angeles, USA, volume 2, 2011. [pdf] [bib]

  21. Francis Colas, Pierre Bessière, and Benoît Girard. Maximum entropy perception-action space: a Bayesian model of eye movement selection. In 30th Conf. on Bayesian Methods and Maximum Entropy in Science and Engineering (MaxEnt2010), volume 1305, pages 83–90. American Institute of Physics, 2010. [pdf] [bib]

  22. Xavier Perrin, Francis Colas, Cédric Pradalier, and Roland Siegwart. Learning to identify users and predict their destination in a robotic guidance application. In Field and Service Robotics, pages 377–387. Springer Berlin/Heidelberg, 2009. [pdf] [bib]

  23. François Pomerleau, Francis Colas, François Ferland, and François Michaud. Relative motion threshold for rejection in ICP registration. In Field and Service Robotics, pages 229–238. Springer Berlin/Heidelberg, 2009. [pdf] [bib]

  24. Francis Colas, Fabien Flacher, Pierre Bessière, and Benoît Girard. Explicit uncertainty for eye movement selection. In Deuxième conférence française de neurosciences computationnelles (Neurocomp08), 2008. [pdf] [bib]

  25. Pierre Bessière and Francis Colas. Bayesian Programming: life science modeling and robotics applications. In International Symposium of Robotics Research, 2007. [pdf] [bib]

  26. Cédric Pradalier, Francis Colas, and Pierre Bessière. Expressing Bayesian fusion as a product of distributions: applications in robotics. In Intelligent Robots and Systems (IROS), 2003 IEEE/RSJ International Conference on, volume 2, pages 1851–1856. IEEE, 2003. [pdf] [bib]

  27. Cédric Pradalier, Francis Colas, and Pierre Bessière. Expressing Bayesian fusion as a product of distributions: application to randomized Hough transform. In Bayesian Methods and Maximum Entropy in Science and Engineering (MaxEnt). AIP, 2003. [pdf] [bib]

Other

  1. Francis Colas. Perception des objets en mouvement. Composition bayésienne du flux optique et du mouvement de l'observateur. PhD thesis, Institut National Polytechnique de Grenoble, 2006. [pdf] [bib]