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

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 …

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

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

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 …

Safe Robot Navigation Among Moving and Steady Obstacles is the first book to focus on
reactive navigation algorithms in unknown dynamic environments with moving and steady …

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 …

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 …

Inspired by birds flying through cluttered environments such as dense forests, this paper
studies the theoretical foundations of high-speed motion through a randomly-generated …