Projects

RAASCEMAN – Resilient and Adaptive Supply Chains for Capability-based Manufacturing as a Service Networks

The manufacturing sector faces challenges such as increasing international competition, political tensions, material shortages or unpredictable natural events. The RAASCEMAN project aims to mitigate a

SC_Kleer – MultiGrasp: Multimodal Grasp Type Prediction for Dexterous Multi-fingered Robotic Grasping

Partners TRUMPF Werkzeugmaschinen SE + Co. KG

NEARBY – Noise and variability-free BCI systems for out-of-the-lab use

Brain-computer interfaces, or BCIs for short, offer a promising possibility for human-machine interaction based on brain signals, especially as an interface for the operation of assistance systems for

SC_INCOW – Influence of Cognitive Workload in Intent Recognition during Robot-Assisted Surgery

Partners Zeiss group

AIQUAMA – AI-based Quality Management for Smart Factories

Anomalies and defects in the production process cause high costs and have a negative impact on sustainability and productivity. If it is possible to detect such defects immediately when they occur, th

Adra-e – AI, Data and Robotics ecosystem

Adra-e - Supporting the AI, Data and Robotics Community in the Development of a Sustainable European Ecosystem Adra-e is a Coordination and Support Action (CSA) funded by the European Commission under

SC_Gomaa – TeachTAM: Machine Teaching with Hybrid Neurosymbolic Reinforcement Learning; The Apprenticeship Model

Recent advances in Machine learning (specifically Computer Vision and Reinforcement Learning) allowed robots to understand objects and the surrounding environment on a perceptual non-symbolic level (e

CAMELOT – Continuous Adaptive Machine-Learning of Transfer of Control Situations

A remaining major challenge with autonomous systems is the handling of situations that the system cannot handle on its own. Up to now, this transfer of control has been considered in isolation. An imp