Imaging-based single-cell physiological profiling holds great potential for uncovering fundamental bacterial cold shock response (CSR) mechanisms, but its application is impeded by severe focus drift ...

As vehicle architectures evolve toward centralized and software-defined systems, automotive developers require flexible toolchains that support heterogeneous hardware platforms, modern programming ...

What started out as a response to labor shortages in poultry processing plants during the COVID-19 pandemic has turned into a robotics system that can learn by imitating human movements to handle ...

New research was motivated by "high-potential societal impacts" of successfully disabling autonomous drones, a study author ...

We have considerable expertise in MPC as a powerful tool for providing optimal control in dynamic environments, ensuring real-time performance and adaptability. Our work includes developing predictive ...

Master Thesis: Building an Uncertainty-Robust Reinforcement Learning-based model for UAV self-separation under Uncertainty ...