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

Recently, there has been growing interest in developing unmanned aircraft systems (UAS)
with advanced onboard autonomous capabilities. This paper describes the current state of …

We review a range of techniques related to navigation of unmanned vehicles through
unknown environments with obstacles, especially those that rigorously ensure collision …

Civil engineers always face the challenge of uncertainty in planning, building, and
maintaining infrastructure. These works rely heavily on a variety of surveying and monitoring …

One of the most challenging problems in the domain of autonomous aerial vehicles is the
designing of a robust real-time obstacle detection and avoidance system. This problem is …

This paper provides a survey of motion planning techniques under uncertainty with a focus
on their application to autonomous guidance of unmanned aerial vehicles (UAVs). The …

Collision-free navigation of autonomous vehicles by means of convex quadratic
programming (CQP) based model predictive control (MPC) is considered in this paper. A …

The Internet of Flying Robots (IoFR) has received much attention in recent years thanks to
the mobility and flexibility of flying robots. Although a lot of research has been done, there is …

In this paper, we present a vision-based terrain mapping and analysis system, and a model
predictive control (MPC)-based flight control system, for autonomous landing of a helicopter …

Flying in and around caves, tunnels, and buildings demands more than one sensing
modality. This article presented an optic-flow-based approach inspired by flying insects for …