3 citations · 4 across the 9 of their papers we have counts for
3 papers · 2 filters
Reinforcement Learning for Safety Testing: Lessons from A Mobile Robot Case Study
Tom P. Huck, Martin Kaiser, Constantin Cronrath +3
Safety-critical robot systems need thorough testing to expose design flaws and software bugs which could endanger humans. Testing in simulation is becoming increasingly popular, as…
Uncertainty-aware Risk Assessment of Robotic Systems via Importance Sampling
Woo-Jeong Baek, Tom P. Huck, Joschka Haas +3
In this paper, we introduce a probabilistic approach to risk assessment of robot systems by focusing on the impact of uncertainties. While various approaches to identifying systema…
Safety Evaluation of Robot Systems via Uncertainty Quantification
Woo-Jeong Baek, Torsten Kröger
In this paper, we present an approach for quantifying the propagated uncertainty of robot systems in an online and data-driven manner. Especially in Human-Robot Collaboration, keep…