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👋 Hi there, I’m Oguz Altan. Welcome to my homepage!
I am a researcher at the University of Applied Sciences (FHDW) Paderborn, where I work on SilvaBot - Fully Autonomous Robot for Scalable, Climate-Change-Adapted Forest Conversion project. As a robotics researcher and engineer, I contribute to the development of autonomous systems for ground and aerial robots aimed at reforesting areas affected by climate change and wildfires. I focus on the development of robotics software and hardware architectures.
I completed my M.Sc. at RWTH Aachen University in the Electrical Engineering and Information Technology Department, with a major in Systems and Automation. Prior to my Master’s degree, I obtained my B.Sc. degree in Electrical and Electronics Engineering from Bilkent University. My research interests center around AI and robotics, particularly in machine learning, reinforcement learning, deep learning, multi-agent systems, and control theory. Through courses, internships, and projects, as well as my Master’s thesis and Bachelor’s final year project, I have gained research and development experience in these fields.
My academic and professional journey includes optimizing UAV trajectories using multi-agent deep reinforcement learning for my Master’s Thesis at Fraunhofer FKIE and developing an autonomous land robot for my Bachelor’s final year project. Additionally, I gained valuable experience in machine and deep learning, automation, and process monitoring through Siemens’ AI-integrated Wire Arc Additive Manufacturing project, as well as embedded systems during my internship at Fraunhofer IIS.
Please visit my GitHub profile to see my projects.
📚 Areas of Interest
- Machine Learning & AI: Deep and reinforcement learning, multi-agent systems, and adaptive intelligence for autonomous decision-making.
- Robotics Software Engineering: Autonomy architectures with multi-sensor fusion, planning, navigation, mapping, perception, swarm intelligence, and obstacle avoidance.
- Control & Optimization: Control theory, trajectory optimization, and learning-based control for robust and efficient robot behavior.
- Software Development: Writing scalable, modular, and maintainable software for real-world robotics and AI systems.
🛠️ Tools & Tech
| Category | Technologies |
|---|---|
| Programming | Python, C++, MATLAB, SQL, Java, LaTeX, VHDL, Assembly |
| Robotics | ROS 2, Gazebo, Simulink, RViz, Nav2, SLAM Toolbox, BehaviorTree.CPP |
| AI & Machine Learning | PyTorch, TensorFlow, Scikit-Learn, Ray, OpenAI Gym, NumPy, Pandas, SciPy |
| Tools & Software | Linux, Git, Docker, EAGLE |
| Embedded | NVIDIA Jetson, Pixhawk |
📫 Let’s Connect
- Email: oguzaltan148@gmail.com or oguz.altan@fhdw.de
- LinkedIn: linkedin.com/in/oguzaltan
- Personal Website: oguzaltan.github.io
“Actions such as his could come only from a robot, or from a very honorable and decent human being.
But you see, you can’t differentiate between a robot and the very best of humans.”
— Isaac Asimov, I, Robot