Olivier Aycard

Also published under:O. Aycard

Affiliation

GIPSA Lab - LIG Lab, University of Grenoble Alpes (UGA), France

Topic

Mobile Robot,Robot Motion,Position Of The Robot,Robot Trajectory,Bayesian Filtering,Beginning Of Process,Cost Of Computational Complexity,Environment Map,Global Localization,Human-robot Interaction,Information Retrieval,List Of Positions,Local Processes,Motion Detection,Motion Model,Navigation Algorithm,Occupancy Grid,Previous Time,Real Position,Robot Navigation,Sensor Model,Acceleration Phase,Behavior Of Participants,Binary Choice,Body Dynamics,Collision Happens,Collision Time,Collision-free Trajectory,Confidence Level,Control Sequence,Control Strategy,Coworking Spaces,Current Observations,Deceleration Phase,Direction Of Travel,Disagreeable,Dynamic Model,Ecological Experiments,End-effector,Evolvability,Eye Shape,Function Of The Robot,Future Conditions,Global Mode,Grid Cells,Human Arm,Human Behavior,Human Motion,Human Sciences,Implicit Association Test,

Biography

Olivier Aycard received the Ph.D. degree in computer science from the University of Nancy, Lorraine, France, in 1998.
In 1999, he was a Visiting Researcher with the Nasa Ames Research Center, Moffett Field, CA. Since 2000, he has been an Associate Professor with the University of Grenoble, Grenoble, France. He is also with INRIA Rhônes Alpes, Montbonnot-Saint-Martin, France. He was also involved in several national and European projects in collaboration with European car manufacturers (Daimler, Volkswagen, Volvo, and Peugeot). In addition, he is in charge of lectures in artificial intelligence and autonomous robotics with the University of Grenoble. He has more than 40 publications in this field. His research focusses on Bayesian techniques for perception with an emphasis on multiobject tracking using multisensor approaches.