sarthou,guillaume,github

Hi there 👋

🔭 I’m currently working on geometric Situation Assessment with a strong link with an ontology. Adapted to Human-Robot Interraction, we do not only consider the robot point of view but also the humans's one to estimate their understanding of the current situation!

Here is an example:

guillaume's Projects

ar_track_alvar

This package is a ROS wrapper for Alvar, an open source AR tag tracking library.

artrack_perception_module

An object perception module using the Ar_track_alvar system.

cram-pepper

A Cognitive Robot Shop Assistant based on the CRAM Cognitive Architecture and the Pepper Humanoid Robot.

mementar

Mementar is a ROS package to store, explore, and interrogate episodic knowledge in an efficient way.

neural-network

This project is an easy tool to create and train neurals networks in C++. Fully modular, you will be able to create a personalized network with several layers and many types of perceptrons.

ontologenius

Ontologenius is a ROS package to link, explore, and interrogate ontologies in a fast way.

optitrack_perception_module

A human perception module using the Optitrack mocap system.

Overworld is a lightweight and open-source framework for geometrical situation assessment for HRI. It permanently maintains a geometric state of the world from the point of view of the robot by aggregating perceptual information from several sources and reasoning on them to create a coherent world.