Advisory Board

Dr. Gustavo Olague

The article Virtual bees help robots see in 3D said

Copying the humble honeybee’s foraging methods could give robots better 3D vision, researchers say. Robot explorers could identify points of interest by mimicking the way bees alert others of promising foraging spots.
Explorer bees report the location of a new food source, like an inviting flowerbed, by dancing on a special area of honeycomb when they return to the hive.
A new type of stereoscopic computer vision system takes inspiration from this trick. It was developed by Gustavo Olague and Cesar Puente, from the Center for Scientific Investigation and Higher Education of Ensenada (CICESE) in Mexico.

Dr. Gustavo Olague is a Professor of Computer Science at Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE), B.C. He is based in their Research Center working within the Computer Science Department of the Applied Physics Division.
His research focuses on the principles of computational intelligence applied to close-range photogrammetry and computer vision. He is a member of the EvoNET, RSPSoc, ASPRS, ISGEC, IEEE, IEEE Computer Society, and is listed in Who’s Who in Science and Engineering. He is recipient of the “2003 First Honorable Mention for the Talbert Abrams Award”, offered by the American Society for Photogrammetry and Remote Sensing.
Gustavo coauthored Development of a Practical Photogrammetric Network Design using Evolutionary Computing, Using Evolution to Learn How to Perform Interest Point Detection, Honeybees as an Intelligent based Approach for 3D Reconstruction, Synthesis of Interest Point Detectors Through Genetic Programming, Pareto Optimal Camera Placement for Automated Visual Inspection, and The Infection Algorithm: An Artificial Epidemic Approach for Dense Stereo Correspondence. Read his full list of publications!
He earned a Bachelor’s degree (with Honors) in Electronics Engineering and a Master’s degree in Computer Science from the Instituto Tecnológico de Chihuahua, Mexico. He earned his Ph.D. (Diplôme de Doctorat en Imagerie, Vision et Robotique) in Computer Graphics, Vision and Robotics from Institut National Polytechnique de Grenoble, France, working at the INRIA Rhône Alpes within the MOVI Research team.