Development of corrosion detection using mobile robotics
in
- Ausschreibung wissenschaftlicher Arbeiten
- Masterarbeit
Corrosion on industrial plants, pipelines and steel structures represents a significant safety and cost risk. Regular inspections are therefore crucial, but often time-consuming, dangerous and labor-intensive. The use of mobile robotic systems - especially four-legged robots ("robot dogs") - offers new possibilities for autonomous inspections in complex environments.
The aim of this master's thesis is to develop and evaluate a system for the automated detection of corrosion based on sensor data from a mobile robot.
The aim of this master's thesis is to
- Data acquisition in a real environment
- Develop an algorithm for the detection and classification of corrosion spots (e.g. using image processing and AI methods)
- Set up a data pipeline for recording, processing and visualizing the inspection results.
- Carrying out test runs to validate the system in realistic environments.
Requirements for students:
- Interest in mobile robotics and AI-based image processing
- Programming skills (e.g. Python, OpenCV, PyTorch/TensorFlow)
- Independent and structured way of working
We offer:
- Access to modern mobile robotics
- Supervision by an interdisciplinary research team
- Opportunity to publish the results at specialist conferences
- Practical application in an industrial environment