Foldable and Self-Deployable Pocket Sized Quadrotor
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For many real-life applications such as monitoring, mapping, search-and-rescue or ad-hoc communication networks, fleets of flying robots are expected to out-perform existing solutions. Robots can join forces to cover larger areas in less time, act as effic ...
We propose a new method for the localization of a Micro Aerial Vehicle (MAV) with respect to a ground robot. We solve the problem of registering the 3D maps computed by the robots using different sensors: a dense 3D reconstruction from the MAV monocular ca ...
Autonomous navigation in obstacle-dense indoor environments is very challenging for flying robots due to the high risk of collisions, which may lead to mechanical damage of the platform and eventual failure of the mission. While conventional approaches in ...
Aerial swarms have the potential to search for forest fires, chemical plumes or victims and serve as communication and sensor networks in the sky. Flying robots are interesting for such applications because they are fast, can easily overcome difficult terr ...
A major challenge in swarm robotics is efficiently deploying robots into unknown environments, minimising energy and time costs. This is especially important with small aerial robots which have extremely limited flight autonomy. This paper compares three d ...
In this paper, we present a stereovision algorithm for real-time 6DoF ego-motion estimation, which integrates normalized cross-correlation-based feature tracking and 3D stereo information in the well-known Iterative Closest Point (ICP) scheme. The proposed ...
Designing effective behavioral controllers for mobile robots can be difficult and tedious; this process can be circumvented by using unsupervised learning techniques which allow robots to evolve their own controllers online in an automated fashion. In mult ...
In this project, it is desired to learn different acrobatic maneuvers through a set of demonstrations shown by an expert pilot. Due to the complexity of the vehicle's dynamics, at first step, it is necessary to find an appropriate set of states that can be ...
This book demonstrates how bio-inspiration can lead to fully autonomous flying robots without relaying on external aids. Most existing aerial robots fly in open skies, far from obstacles, and rely on external beacons – mainly GPS – to localise and navigate ...
Designing effective behavioral controllers for mobile robots can be difficult and tedious; this process can be circumvented by using unsupervised learning techniques which allow robots to evolve their own controllers in an automated fashion. In multi-robot ...
