Reinforcement learning (RL) enables robots to learn its optimal behavioral strategy in
dynamic environments based on feedback. Explicit human feedback during robot RL is …

In the past, robots were primarily used to perform work that was either too hard, too
dangerous or simply too repetitive for humans, eg, assembly line work, or work that could be …

A current trend in the development of assistive devices for rehabilitation, for example
exoskeletons or active orthoses, is to utilize physiological data to enhance their functionality …

Advanced man-machine interfaces (MMIs) are being developed for teleoperating robots at
remote and hardly accessible places. Such MMIs make use of a virtual environment and can …

The classification of complex data usually requires the composition of processing steps.
Here, a major challenge is the selection of optimal algorithms for preprocessing and …

We present an approach to control a semi-autonomous robot team remotely under low
bandwidth conditions with a single operator. Our approach utilises virtual reality and …

Zusammenfassung Das Tragen eines Roboters, also der direkte Kontakt eines potenziell
sehr kraftvollen Systems mit dem menschlichen Körper, stellt enorme Anforderungen an die …

Previous occupational safety concepts in human-machine interaction scenarios are based
on the principle of spatial separation, reduction of collision force or distance monitoring …

Event-related potentials (ERPs) are often used in brain-computer interfaces (BCIs) for
communication or system control for enhancing or regaining control for motor-disabled …

With respect to single trial detection of event-related potentials (ERPs), spatial and spectral
filters are two of the most commonly used pre-processing techniques for signal …