CONTROLLER design is more troublesome in aerospace systems due to, inter alia, diversity
of mission platforms, convoluted nonlinear dynamics, predominantly strict mission and …

An internal combustion engine (ICE) is a highly nonlinear dynamic and complex
engineering system whose operation is constrained by operational limits, including …

The rising popularity of self-driving cars has led to the emergence of a new research field in
recent years: Autonomous racing. Researchers are develo** software and hardware for …

In this letter, we present a learning-based control approach for autonomous racing with an
application to the AMZ Driverless race car gotthard. One major issue in autonomous racing …

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 …

We consider the problem of generating motion plans for a robot that are guaranteed to
succeed despite uncertainty in the environment, parametric model uncertainty, and …

Safe autonomous navigation of microair vehicles in cluttered dynamic environments is
challenging due to the uncertainties arising from robot localization, sensing, and motion …

High-precision trajectory tracking is fundamental in robotic manipulation. While industrial
robots address this through stiffness and high-performance hardware, compliant and cost …

We consider the problem of predicting the motion of vehicles in the surrounding of an
autonomous car, for improved motion planning in lane-based driving scenarios without inter …

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 …