In this paper, we introduce a probabilistic approach to risk assessment ...
In this paper, we present an approach for quantifying the propagated
unc...
Safety critical systems are typically subjected to hazard analysis befor...
We present an online and data-driven uncertainty quantification method t...
Folding garments reliably and efficiently is a long standing challenge i...
In this paper, we present a learning-based approach that allows a robot ...
We introduce a novel simulation-based approach to identify hazards that
...
Robot learning of real-world manipulation tasks remains challenging and ...
We present Ruckig, an algorithm for Online Trajectory Generation (OTG)
r...
Robot learning is often simplified to planar manipulation due to its dat...
This paper presents an approach to learn online generation of collision-...
During the planning phase of industrial robot workplaces, hazard analyse...
Industrial human-robot collaborative systems must be validated thoroughl...
We present an approach to learn fast and dynamic robot motions without
e...
Flexible pick-and-place is a fundamental yet challenging task within
rob...
We present TrueRMA, a data-efficient, model-free method to learn
cost-op...
We present TrueAdapt, a model-free method to learn online adaptations of...
Hand guidance emerged from the safety requirements for collaborative rob...
Robotic grasping in cluttered environments is often infeasible due to
ob...
Having a precise and robust transformation between the robot coordinate
...
Given the task of learning robotic grasping solely based on a depth came...
Hand guidance of robots has proven to be a useful tool both for programm...