15.07.2023 aktualisiert

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Robotic Software developer

Oberschleißheim, Deutschland
Weltweit
Master of Engineering in Mechatronics and Robotics
Oberschleißheim, Deutschland
Weltweit
Master of Engineering in Mechatronics and Robotics

Profilanlagen

CV.pdf
ANSYS Simulation.pdf
Become a PLC Developer.pdf
Learning PCB Design with EAGLE.pdf
MATLAB 2018 Essential Training.pdf
Nx design certificate.pdf
Python Certificate Document.pdf
Python Certificate Document.pdf
Raspberry Pi Essential Training.pdf
ROS certificate.pdf
SOLIDWORKS 2022 Essential Training.pdf

Skills

C (Programmiersprache)AutocadArduinoC++SolidWorks (CAD)LinuxGithubPythonLatexMatlabOpencvSpeicherprogrammierbare SteuerungenRaspberry PiTensorflowRoboticsSimulations-SoftwareSimulinkPytorchAnsysProgramming Languages
Programming Languages: Python, C, C++, MATLAB, and XML

Softwares: Linux, Arduino, GitHub, PLC, EAGLE, OpenCV, Raspberry Pi, TensorFlow and PyTorch
CAD Software: SolidWorks, AutoCAD, and NX9
Simulation Software: Ansys, MATLAB/Simulink, ROS, ROS2, and Gazebo

IT-Knowledge: LaTex, Microsoft Word, Excel, and powerpoint

Sprachen

DeutschgutEnglischverhandlungssicher

Projekthistorie

Master thesis - Setup of an Autonomous Mobile Robot Navigation and an Implementation of a Mapping using a 2D Laser Rangefinder Sensor

Hochschule Schmalkalden
*Integration and testing of software and hardware components with real robot platforms.
*Working with ROS Noetic and Gazebo, which are installed on the Ubuntu Linux operating system.
*Utilizing object-oriented programming in C++ and Python to control the mobile robot.
*Commissioning the autonomous driving mobile robot platform through sensor calibration and configuration. This includes Ultrasonic sensors, cameras, LiDAR laser sensors, and IMU sensors.
*Designing and implementing algorithms for autonomous mobile robot navigation, such as SLAM mapping, odometry, object detection, control planning, image processing, sensor data filtering using PCL (Point Cloud Library), sensor fusion, obstacle avoidance, and localization.

Working Student - Robotic Software Engineer

Institute for Integrated Production, Hannover

Transport und Logistik

< 10 Mitarbeiter

* Developed machine learning and deep learning algorithms using
TensorFlow and PyTorch.
* Implemented computer vision algorithms in C++ using OpenCV.
* Contributed to the further development of software infrastructure,
particularly in the fields of robot systems, drones, image processing, and
middleware for embedded systems like Raspberry Pi, NVIDIA Jetson
Nano, and Arduino.
* Verified and validated the results by utilizing a simulator in ROS (Robot
Operating System) and ROS2 Gazebo.

Student Project - Application of gyroscopic sensor (MPU-6050) in the form of automatically controlled wheelchair

Hochschule Schmalkalden

Automobil und Fahrzeugbau

* The wheelchair's movements are controlled through head movements,
utilizing a 6-DOF IMU gyro and accelerometer sensor, along with an
ATmega 328P microcontroller.
* Conducting analytical and statistical tests on navigation tasks' process
steps, as well as documenting and analyzing the test results.
* Setting up a communication interface between the wheelchair and the
onboard computer to enable remote access and processing of sensor
data.

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