Background The evolving concepts of pervasive computing, ubiquitous computing and
ambient intelligence are increasingly influencing health care and medicine. Summarizing …

Recently, model predictive control (MPC) is increasingly applied to path tracking of mobile
devices, such as mobile robots. The characteristics of these MPC-based controllers are not …

In this article, we tackle the problem of flying time-optimal trajectories through multiple
waypoints with quadrotors. State-of-the-art solutions split the problem into a planning task …

Gaussian process (GP) regression has been widely used in supervised machine learning
due to its flexibility and inherent ability to describe uncertainty in function estimation. In the …

This paper describes autonomous racing of RC race cars based on mathematical
optimization. Using a dynamical model of the vehicle, control inputs are computed by …

We propose a method for automated aerial videography in dynamic and cluttered
environments. An online receding horizon optimization formulation facilitates the planning …

Stochastic model predictive control (SMPC) provides a probabilistic framework for MPC of
systems with stochastic uncertainty. A key feature of SMPC is the inclusion of chance …

This paper presents an adaptive high performance control method for autonomous miniature
race cars. Racing dynamics are notoriously hard to model from first principles, which is …

The path-following (PF) problem of an autonomous underwater vehicle (AUV) is studied, in
which the path convergence is viewed as the main task while the speed profile is also taken …

We consider the tracking of geometric paths in output spaces of nonlinear systems subject to
input and state constraints without pre-specified timing requirements, commonly referred to …