Career Profile
I am Arthur Niedźwiecki, a researcher in Robotics and Artificial Intelligence. My work focuses on cognitive robotic systems, semantic digital twins, and autonomous action planning. Alongside research, I bring extensive teaching experience, proven success in acquiring third-party funding, and a strong international network within the robotics community. My goal: to shape the future of intelligent, collaborative robots at the intersection of science, industry, and society.
Education
Thesis: Tactile-Based and Cognition-Enabled Manipulation for Real World Assembly Tasks
(Improving the precision of mobile robots in industrial assembly environments)
Thesis: Plan-Transformation for Autonomous Real World Pick and Place Tasks
(How household robots can autonomously optimize their behavior)
Experiences
- PhD topic: Deliberate Thinking for Autonomous Robots (Supervisor: Prof. Michael Beetz)
- Developed CRAM 2.0, a cognitive robot architecture for everyday manipulation
- Coordinated >20 international researchers for milestone reports
- Co-author of DFG proposals including the EASE-CRC continuation (>€10M)
- Supervised Bachelor and Master theses
- English-taught Master’s lecture from linear algebra & kinematics to autonomous navigation
- Excellent evaluations (“One of the best lecturers I have ever had…”)
- Practical programming on real robots
- Advanced module on architectures of cognition-enabled autonomous robots
- Project-based teaching format
- Built and implemented test environments for automotive software
- Focused on simulation-based quality assurance
- Developed semantic digital twins for the CRAM architecture
- Contributed to cognitive control in autonomous robots
- Provided feedback and support for students in robotics projects
- Improved usability and performance of a complex web configurator in an agile team
- Worked on both front-end (JSF) and backend (Spring) components
- Supported students in OOP and algorithms
- Introduced best practices in programming education
- Refactored and redesigned a construction safety supervision app
- Built in the Corona SDK framework for lightweight deployment
Projects
Selected projects and initiatives in research, teaching, and robotics competitions.
Publications
Selected publications in robotics, AI, and cognitive systems.