23 citations · 29 across the 6 of their papers we have counts for
6 papers
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…
Hazard Analysis of Collaborative Automation Systems: A Two-layer Approach based on Supervisory Control and Simulation
Tom P. Huck, Yuvaraj Selvaraj, Constantin Cronrath +4
Safety critical systems are typically subjected to hazard analysis before commissioning to identify and analyse potentially hazardous system states that may arise during operation.…
Testing Robot System Safety by creating Hazardous Human Worker Behavior in Simulation
Tom P. Huck, Christoph Ledermann, Torsten Kröger
We introduce a novel simulation-based approach to identify hazards that result from unexpected worker behavior in human-robot collaboration. Simulation-based safety testing must ta…
Virtual Adversarial Humans finding Hazards in Robot Workplaces
Tom P. Huck, Christoph Ledermann, Torsten Kröger
During the planning phase of industrial robot workplaces, hazard analyses are required so that potential hazards for human workers can be identified and appropriate safety measures…
Simulation-based Testing for Early Safety-Validation of Robot Systems
Tom P. Huck, Christoph Ledermann, Torsten Kröger
Industrial human-robot collaborative systems must be validated thoroughly with regard to safety. The sooner potential hazards for workers can be exposed, the less costly is the imp…