Robotics projects


Self localization and mapping

Integration of a state-of-the-art self localization and mapping algorithm into a robotic suite for Awabot's Emox robotic suite. Emox is an educational package built around the Emox/Sparx robotic platform. It includes modules to create augmented reality, programming and navigation applications.

IV-devs' role was to create a simultaneous localization and mapping module using the PTAMM algorithm. This allowed autonomous navigation and extended greatly the robot's capacities.


Autonomous navigation with LIDAR

This project provided mapping and trajectory planning features to the R-trooper, an autonomous vehicle designed by Thalès in collaboration with the LAAS. Using a lidar system, a software was designed to create a realtime map of the environment and generate trajectories by doing assumptions about unseen zones and taking into account the mechanical constraints of the robot.


Crowd counting using HD video streams

The goal of this open source project is to evaluate the number of persons in a crowd. There are currently no fully automated software for this task.

HeadCounter uses a Haar classifier to find faces in a crowd and tracks them individually to evaluate the rate of the flow and the total size of the crowd.

HeadCounter is available on bitbucket.org