By combining artificial intelligence with automated robotics and synthetic biology, researchers at the University of Illinois ...

Though model predictive control can systematically handle the control problem of multi-input multi-output system under state and input constraints, it heavily depends upon the model of the controlled ...

The Gaussian process (GP) is a Bayesian non-parametric paradigm that is widely adopted for uncertainty quantification (UQ) in a number of safety-critical applications, including robotics, healthcare, ...