Blogs

The future is here after over two years of work can be said to have developed in the laboratories of Laser Navigation and thanks to the support of the network of laboratories Virtualrobotix drone technology of tomorrow.
A short video of a recent test test of our system of autonomous flight, mapping and advanced management of the payload.
In the video you can see to your left the management of telemetry and live images from the drone, during production of photogrammetry high definition of this shed, on the right instead you can see the anti collision system , mapping and location on board the drone, working in 3D mode, totally alternative to the GPS with an accuracy of 5 cm. Integrated into our VR Brain Core  flight control.
The system is able through modules VR SLAM and Payload managment to fully manage a mapping mission indoors and inspection giving results very impressive.
The localization module that we have implemented is fully compatible with automated features that normally are handled with GPS. So in fact allows both the flight assisted by Lidar that autonomous navigation with impressive precision than a standard GPS.
This new architecture named VR  Goliath it  is compatible with different types of frames is that copter trad hely, but also boat or plane depending on the component and makes' the supply to professional customers and advanced R & D. Soon we are planning at the Technical University of Padua, a faculty Aerospace Professional Seminar dedicated to students, researchers and High Tech companies  where they will present the results of these research activities and will experience first hand the latest innovations born out by our lab ... . different professional customers have begun to use these technologies and our feedback from the field in real situations have confirmed the quality tested in our laboratories. To access more information on the platform you can contact me at r.navoni@virtualrobotix.com .

original post : http://www.virtualrobotix.com/profiles/blogs/vr-goliath-framework-integration-of-apm-ros-slam-and-payload-mana