I’m Dimitry NGONGANG

Accomplished tasks :

• Cartoonify an image with machine learning;
• Simulate a robotic arm to move a ball placed on a table;
• Simulate the detection of obstacles by a mobile robot;
• Simulate the autonomous navigation of a mobile robot capable of delivering mail;
• Simulate the navigation of a mobile robot to move on a small, and a large square;
• Write a Deep Learning program for the classification of clothing images;
• Teach a mobile robotics course: Kalman filter and Bayesian filtering, orthogonal linear estimators and state observers, least squares method and parameters.

Accomplished tasks :

• Do the mapping and localization with the sensors of the mobile robot (PIAM-BOT);
• Improve the facial recognition of the autonomous mobile robot (PIAM-BOT);
• Use OpenCV to detect obstacles;
• Perform KNN, CNN, and SVM recognition of handwritten digits;
• Perform the restoration and backup of images provided by the robot;
• Process images: zoom, cut, shift, mirror, affine map and rotation;
• Connect On A Remote Server With The SSH Protocol.
• Realize a Bash script for the navigation of a mobile robot;
• Write a python program that allows our robot to make a circle;
• Program the autonomous navigation of a mobile robot on a square ground;
• Perform remotely operated navigation of a mobile robot;
• Teach mobile robotics course: Modeling, Localization, Mapping, and Navigation.

Accomplished tasks :

• Realize an autonomous mobile robot with facial recognition controlled by a Raspberry Pi 4B card;
• Develop a Python software stack based on ROS: detection, locomotion, navigation;
• Create test software and control algorithms using Python and the NumPy library;
• Implement Python scripts to generate detailed configuration reports on distributed scale-out scale-out server nodes for converged server systems;
• Simulate LED, blink, button, switch, lighting control panel, and massive optimization with Raspberry Pi;
• Create Landing Page, LED Remote, Feedback, Phidget Weather, and AutoStart with Raspberry Pi;
• Simulate an FTP server, Torrents, and a home with Raspberry Pi.