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 …

This article studies an efficient nonlinear model-predictive control (NMPC) scheme for
trajectory tracking control of a quadrotor unmanned aerial vehicle (UAV). By augmenting the …

In the contemporary landscape, the escalating deployment of drones across diverse
industries has ushered in a consequential concern, including ensuring the security of drone …

Uncertain dynamic obstacles, such as pedestrians or vehicles, pose a major challenge for
optimal robot navigation with safety guarantees. Previous work on optimal motion planning …

In this study, an obstacle avoidance controller based on nonlinear model predictive control
is designed in autonomous vehicle navigation. The reference trajectory is predefined using …

We present a model predictive controller (MPC) that automatically discovers collision-free
locomotion while simultaneously taking into account the system dynamics, friction …

Great efforts have been devoted to the intelligent control of autonomous systems. Yet, most
of existing methods fail to effectively handle the uncertainty of their environment and models …

Unmanned aerial vehicles (UAVs), specifically quadrotors, have revolutionized various
industries with their maneuverability and versatility, but their safe operation in dynamic …

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

With the continued development of Autonomous Vehicle System (AVS), self-driving related
technologies have attracted much attention over the past decade. In this light, we survey …