Software & Mechatronics Systems Engineering
Designing and developing software and mechatronics systems with an emphasis on understandable structure, robust implementation and continuous improvement.
Engineering foundationA.00 / About
Research on Physical AI for Robotic Manipulation.
Dawid Pytliński, MSc Eng.
Doctoral Researcher · Software & Mechatronics Systems Engineer
I am Dawid Pytliński, MSc Eng. — a software and mechatronics systems engineer and doctoral researcher exploring how intelligent systems can learn, reason and act beyond the screen.
Faculty of Electronics, Photonics and Microsystems
Wrocław University of Science and Technology
Wrocław, Poland
A.01 / Profile
A foundation in software, directed toward intelligent systems.
My path in computer science began with programming, software engineering and mechatronics systems engineering. That practical foundation continues to shape how I approach machine learning, robotics and the design of reliable systems.
Today, I combine engineering practice with doctoral research and teaching at Wrocław University of Science and Technology. I am especially interested in Physical AI, embodied intelligence and learning-based approaches to robotic systems.
I value careful reasoning, clear communication and steady development — whether the task is building a software feature, preparing a class or investigating a research question.
A.02 / Directions
Three connected areas of practice.
Each area informs the others: engineering creates the foundation, research explores what is possible, and teaching makes knowledge useful and transferable.
Physical AI research
Exploring machine learning, robotics, embodied intelligence and models that connect perception, decision-making and action.
Research directionAcademic teaching
Supporting practical learning through clear explanations, hands-on work and independent problem solving.
Teaching practiceA.03 / Technology stack
Explore the tools behind the work.
A curated set of tools supporting software engineering, mechatronics systems engineering, artificial intelligence and robotics research.
Software and mechatronics systems engineering
Open reference ↗Data analysis, automation and machine learning
Open reference ↗Deep learning and neural-network research
Open reference ↗Version control and collaborative workflows
Open reference ↗Robot learning and embodied AI experiments
Open reference ↗Robotics simulation environment
Open reference ↗Mobile application testing
Open reference ↗Development and research environment
Open reference ↗Robotics middleware and system integration
Open reference ↗Swipe left or right on touch screens. On desktop, select a card or use the Left and Right arrow keys.
A.03 / Toolkit
Learning across software and intelligent machines.
- SoftwareJava, C++, Python, and workflows for software and mechatronics systems engineering
- AI & roboticsMachine learning, robot learning, manipulation and simulation
- ResearchPhysical AI, embodied intelligence and mathematical system modelling
- PracticeGit, automation, testing and iterative development
A.04 / Contact
Let us discuss software, research or teaching.
For professional and academic enquiries, use the confirmed contact details.