I'm Mélanie Fontaine and I'm graduated with a master's degree Numeric Industry at INSSET since 2020. I'm currently doing my second year of PhD research at the University of Picardie Jules Verne.

Passionate about robotics and the medical world, my thesis through the AiBle project combines these two passions. More information are provided on the project presentation.

Research Interest : Robotics, Cloud Computing, ROS (Robot Operating System) , Security, Medical rules

Contact : melanie.fontaine@crispi-upjv.fr

"Cloud Architecture of AI based exoskeleton system"

Cloud Architecture of AI based exoskeleton system is an important point of the project. Define the Cloud Architecture with all subsystems allows us to prepare the Cloud with API, databases and AI. Several steps are necessary to define the Cloud Architecture. Cloud requirements and specifications for each Aible subsystems on backend and for the entire Aible system have to be defined. Once the requirements and specifications are defined, API/Web services, databases are defined (Which type, rules, security, authentication ..) , the Cloud infrastruture is designed. Then the Cloud deployment will be designed by an explanation about the API/Web Service deployment, database deployment and the way all subsystems communicate with other one.

Supervisor: Emmanuel Bellenger (Prof.), Marianne Huchard (Prof.), Huaxi (Yulin) ZHANG(Assoc. Prof.)

During the first year of my master's degree, our main project was to build a robot prototype. Whith my team, we called our robot SAMED. This name was a combination of our names.

SAMED is a robot for hospital. Our objective was to help nurses, doctors, by brigning medications or materials. So we have to product a prototype of this robot. With my team, we ordered the material according to a defined budget and we built our robot step by step. Some part of our robot was 3D print. After mechanical design, electrical design and assembly, we made our first Arduino Program with ROS node. The first objective was to move the robot by using teleop command.

The second objective was to use SLAM (Simultaneous Localization and Mapping). This step wasn't easy at our level at this moment. We made it, we suceeded to do a mapping of a room. We were also able to guide our robot remotely!

Acquired skills :

-Mechanical design (Solidworks and Assembly)
-Electrical design
-Arduino (Python)
-ROS (Robot Operating system)
-GitHub
-SLAM
-LIDAR
-RealSense D435

Here is a video of the first version of our robot then a photo representing the final version. The last image is from a video where I am using teleop to do the room mapping.