Research

General Research Activities

We primarily conduct research on anomaly detection and classification using model-based and data-driven methods on the following:

Robotics and mechatronics systems to perform fault diagnosis and to enhance automation and reliability, including Digital Twinning and Industry 4.0 applications.
Biomedical signals such as ECG and EEG to identify the key biomarkers for early detection of diseases and to enhance the accuracy of diagnostics.

2x ER-FLEX 250 (UR-5e cobot + MiR250 AMR combo)
4x Turtlebot4
3x Bambulab X1 Multi-Filament (AMS) and Multi-Material-capable 3D-Printers
3x OrangeApps KUKA-compatible Robotic Arms
4x MinSeg Robotic System
Sonotec PR 200 Combi Pulser
Picoscope 5443D Oscilloscope
Ultrasonic Immersion and Contact Transducers
INTECO Dual-Rotor Aerodynamical System
INTECO Antilock Braking System (ABS)
Dell Bright Cluster HPC and Digital Twin System:
- 1 PowerEdge R6525 Head Node
- 3 PowerEdge R6525 Compute Node
- 1 PowerEdge R750 GPU Node
- 1 PowerEdge R6515 SDP Node
Festo CP LAB Variant 3, which includes the following:
- 6x Pallet Transfer System
- 4x System Trainers With A4 Frames
- 2x CP Bridge
- 1x Robotino + SIM Environment
- 2x Magazine Modules
- 1x Measurement Module
- 1x Muscle Press Module
- 1x Tunnel Furnace Module
- 1x Workpiece Output Module
NVIDIA Jetson TX2