This paper presents a review on the development and application of model predictive
control (MPC) for autonomous intelligent mechatronic systems (AIMS). Starting from the …

This survey paper presents a holistic perspective on the state-of-the-art in the design of
guidance, navigation, and control systems for autonomous multi-rotor small unmanned …

We tackle the problem of minimum-time flight for a quadrotor through a sequence of
waypoints in the presence of obstacles while exploiting the full quadrotor dynamics. Early …

This paper presents a review of the design and application of model predictive control
strategies for Micro Aerial Vehicles and specifically multirotor configurations such as …

It is challenging for a mobile robot to avoid moving obstacles in dynamic environments.
Traditional velocity obstacle methods do not fully consider the obstacles moving with the …

Autonomous navigation and collision avoidance missions represent a significant challenge
for robotics systems as they generally operate in dynamic environments that require a high …

The safety issue arises as one of the most important requirements for autonomous quadrotor
flight. Recently, control barrier function (CBF) technique has been developed to provide …

In this work, our goal is to use an online learning-based nonlinear model predictive control
(NMPC) for systems with uncertain and/or time-varying parameters. We have deployed it for …

Autonomous navigation in unknown environments populated by humans and other robots is
one of the main challenges when working with mobile robots. In this paper, we present a …

Aerial manipulation is an emerging field in robotics with various potential applications such
as transport and delivery, agriculture, and, infrastructure inspection. To deploy aerial …