@ CNRS-I3S/UNS

Research carried out by our members is focused on  :

  • Real-time visual localisation : robustness, accuracy, efficiency.
  • Robot learning : Dense 3D mapping, semantic segmentation, visual SLAM, large-scale scenes, dynamic environments, loop-closure.
  • Sensor models : RGB-D, camera, stereo, depth, omni-directional, laser.
  • Applications to Robotics and Augmented Reality.
  • Postdoc Position Available in the context of the European H2020 projet Comanoid (CNRS, INRIA, DLR, Univ. Rome 1, Airbus) on RGB-D localisation and mapping for humanoid robots in a manufacturing environment - more information is available here.
  • 2016: Arndaud Tanguy and Andrew Comport, Award of the best paper finalist for the article IEEE/SICE SII entitled “Closed-loop RGB-D SLAM Multi-Contact Control for Humanoid Robots” presented at SII 2016 (International Symposium on System Integration)
  • 2016: Fernando Ireta and Andrew Comport, Award of the best student paper finalist at IEEE/RSJ IROS, for the article entitled “Point-to-hyperplane RGB-D Pose Estimation : Fusing Photometric and Geometric Measurements”. Prestented at IROS 2016.
  • 2016: Fernando Ireta and Andrew Comport, Awarded the best student paper finalist at IEEE MFI, for the article entitled “A Proof that Fusing Measurements Using Point-to-Hyperplace Registration is Invariant to Relative Scale”. Presented at "Multi-sensor Fusion and Integration for Intelligent Systems".
  • 2014: PIXMAP, Prize-winner for the French national innovation competition CREADEV for the creation of start-ups.
  • 1/4/2015 - PhD position filled on Object recognition in RGB-D images For the accurate localisation of a manufacturing collaborative robot in collaboration with Airbus Group.
  • 2014 Andrew Comport and Maxime Meilland, Awarded the medal of the University of Nice Sophia Antipolis 2014.
  • 1/1/15 - European H2020 projet Comanoid on Multi-contact Collaborative Humanoids in Aircraft Manufacturing begins in collaboration with CNRS, INRIA, Airbus, DLR et l'Université de Rome 1.
  • We are looking for a postdoc to work on large-scale dense visual SLAM. More information is available HERE. Please contact us rapidly if you are interested.
  • 8/5/2014 - Invited talk at the Robotics and Perception Group at the University of Zurich.
  • 26/2/2014 - Invited conference on the "Next generation of collaborative robots" at the Embassy of France in Japan sponsored by Airbus and the French embassy.
  • 6/11/2013 - IROS 2013 Best Paper Award : On unifying key-frame and voxel-based dense visual SLAM at large scales, Maxime Meilland and Andrew Comport

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