3 papers
eess.SY2026
Model-Based Data-Efficient and Robust Reinforcement Learning
Ludvig Svedlund, Constantin Cronrath, Jonas Fredriksson +1
A data-efficient learning-based control design method is proposed in this paper. It is based on learning a system dynamics model that is then leveraged in a two-level procedure. On…
cs.RO2023
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…
cs.RO2022
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.…