How do you learn to navigate an Unmanned Aerial Vehicle (UAV) and avoid obstacles? One
approach is to use a small dataset collected by human experts: however, high capacity …

One of the major challenges in robotics is to develop a fly-like robot that can autonomously
fly around in unknown environments. In this paper, we discuss the current state of the DelFly …

Safe navigation through corridors plays a major role in the autonomous use of Micro Aerial
Vehicles (MAVs) in indoor environments. In this paper, we present an approach for wall …

This paper presents a novel control strategy, which we call optiPilot, for autonomous flight in
the vicinity of obstacles. Most existing autopilots rely on a complete 6-degree-of-freedom …

Monocular vision is increasingly used in micro air vehicles for navigation. In particular,
optical flow, inspired by flying insects, is used to perceive vehicle movement with respect to …

The appearance variation cue captures the variation in texture in a single image. Its use for
obstacle avoidance is based on the assumption that there is less such variation when the …

Two bio-inspired guidance principles involving no reference frame are presented here and
were implemented in a rotorcraft, which was equipped with panoramic optic flow (OF) …

Flying insects use the optic flow to navigate safely in unfamiliar environments, especially by
adjusting their speed and their clearance from surrounding objects. It has not yet been …

The reliability of autonomous landing of the UAVs in an unknown or unprepared
environment can be improved by the application of image-based sensors. This paper …

A control strategy is proposed to deal with the fundamental gain selection problem of optical
flow landings. It involves detecting the height by means of an oscillating movement and …