I proposed and led the EventRec project, taking it from concept to securing funding from the AIF/IGF in close collaboration with colleagues.

The project aims to enable high-speed robots to perceive and interact with their environment using event cameras. As project lead, I managed a small research team that created the MTEvent dataset and am currently working on developing novel methods for 3D detection of moving objects, advancing real-time perception capabilities for robots to navigate safely and efficiently in dynamic environments at high speed.

Industry partners: KION, Jungheinrich, Framos, Safelog and others.

Project Description: This project investigates the integration of micro–unmanned aerial vehicle (UAV) swarms in indoor industrial environments, focusing on safe human–robot collaboration and perception-driven autonomy.

A comprehensive framework and digital-twin simulation is developed to demonstrate the feasibility of UAV swarms performing logistics tasks such as transport, guiding humans and inspection in constrained warehouse settings. In parallel, machine learning methods for human activity recognition are explored. A dataset consisting of human UAV interaction in a warehouse setting is also published on Zenodo.

Partners: Ruhr University Bochum, UPM Madrid, Fraunhofer IML Dortmund, Technical University Dortmund.