A key goal of the System-Theoretic Process Analysis (STPA) hazard analys...
Testing black-box perceptual-control systems in simulation faces two
dif...
Modern autonomous systems rely on perception modules to process complex
...
Soft actuators offer a safe and adaptable approach to robotic tasks like...
Imitation learning (IL) is a popular paradigm for training policies in
r...
Many robot control scenarios involve assessing system robustness against...
This paper presents an extension to the probabilistic programming langua...
Robotic control tasks are often first run in simulation for the purposes...
This paper addresses a common class of problems where a robot learns to
...
Most current methods for learning from demonstrations assume that those
...
Methods for learning and planning in sequential decision problems often
...
Methods for learning optimal policies in autonomous agents often assume ...