AI in Electrical Engineering
Research and Teaching at the Forefront of AI
The areas of AI application in electrical engineering range from environmental perception in autonomous vehicles to smart power grids and the identification of component characteristics for high-variety production processes, all the way to assistance systems that can explain their decisions to humans.
Numerous professors and research associates in the Faculty of Electrical Engineering at Augsburg University of Applied Sciences (THA) apply artificial intelligence methods in research projects, feasibility studies, and in the areas of teaching and continuing education.
The following list provides an overview of current AI projects at the Faculty of Electrical Engineering at THA.
The professors listed below are always happy to receive project ideas. Please feel free to contact us!
AI Projects from the Faculty of Electrical Engineering in the THA AI Production Network
The following projects from the Faculty of Electrical Engineering are part of the AI Production Network at the Technical University of Applied Sciences Augsburg, in which interdisciplinary teams from the university conduct application-oriented research in collaboration with partner organizations:
- KIraF – AI-Based Robotic Automation for Joining Processes
- ModProFT – Model-Based Autonomous Process Planning for Functional Testing in Electronics Manufacturing
- B2X – Beyond Salesbot
- Cobots for My Trade
- Digital Assistance Systems for Carpentry Shops
- Environmental Perception in Urban Settings
- Power Grid Analysis for Asset Management via Artificial Intelligence Applications (GA³IA)
AI Feasibility Studies at the Faculty of Electrical Engineering
- EvoGripper - Rethinking the Art of Gripping
- Disassembly of Battery Systems
- Precision Assembly of Interlocking Components
- Offline programming of cobot applications
- Monitoring high-frequency sensor data from a robotic application in an IoT database
AI Projects in Teaching and Continuing Education at the Faculty of Electrical Engineering
- "Robot Systems Engineering" Internship
- Introductory Internship at the RoboticsLab
- Expert Training Courses for Cobot Applications and AI Systems
AI Projects by Prof. Dr.-Ing. Christoph Legat
- RAISE: Regulatory AI-Based Standards Assistance Engine
- PREDICT: Prediction of Data Characteristics for Improving Computational Techniques
- XAI-RERED: Explainable AI-Based Requirements Engineering in Regulated Domains
- SIA-BOS: Standardization Industrial Agents – Building Organizational Structures
- INDAIL-A: Industrial AI Literacy in the Augsburg Region