Searched for: subject%3A%22Sensor%255C-based%255C%252BControl%22
(1 - 1 of 1)
document
Vahs, Matti (author), Pek, Christian (author), Tumova, Jana (author)
Ensuring safety in real-world robotic systems is often challenging due to unmodeled disturbances and noisy sensors. To account for such stochastic uncertainties, many robotic systems leverage probabilistic state estimators such as Kalman filters to obtain a robot's belief, i.e. a probability distribution over possible states. We propose...
journal article 2023