It has been some time since we first presented our vision of a fully integrated 3” micro drone and dedicated ecosystem around it at the ArduPilot Conference 2020. From the very beginning, our goal was to create a unified platform that would appeal to research and educational institutions, as well as the maker and DIY scene. And today, with ArduBee and especially with its ecosystem of add-ons, drones enthusiasts around the world will be able to unleash the potential of the trustworthy and feature-rich Open Source ArduPilot project.
We strongly believe that with the development of ArduBee we can tremendously accelerate the development and research of drone applications and especially swarm applications, as we will have a reliable reference platform in the development community.
Today the fundraising campaign on Kickstarter is online and from now on you can be part of the ArduBee project and its ecosystem of add-ons!
Pledge to make it possible for everyone to develop autonomous drone applications and to enable research on aerial robotics, swarms powered by a genuine open source flight stack.
Go to the campagne page and choose your favorite “reward” and you will receive our products starting from the end of December. Be sure to not miss our limited packages for early adopters that come with an additional discounted price.
Come on board, let ArduBee take off and help us spread the news about the launch of our Kickstarter campaign!
Click here to see the last post about it on Ardupilot.
On Sunday 29 March, our Creative R&D Director Giorgio Rinolfi presented ArduBee, our new 3 ” micro-drone, at the Ardupilot Conference, an annual reference event for all the developers of the community. Good vision!
We therefore decided to create a post on the Ardupilot forum to inform even more people of the birth of ArduBee, which becomes a point of reference where to write updates and talk to the community.
On December 3, 2019, at the Linz University of Art, the Master Program Interface Cultures invited our Creative R&D Director Giorgio Rinolfi to hold a conference in the context of the INVITED CULTURE READING SERIES:
Aerial Media Arts and LuminousBees, an Open Source robotic swarm ecosystem for public Arts
The development of the services and applications in the shared airspace and the lack of awareness in terms of its potential community use, has started the creation of “Aerial Media Arts”. Ongoing research has in “swarm robotics” the main tool for artistic investigation, performance and dataset visualization for the community.
This lecture will give you an overview on the state of the current UAVs (unmanned aerial vehicles) research. From the traditional aircraft models to the drones and hybrid VTOL system, the autonomous ability has always been required.
Luminousbees is a platform for research and creative applications with swarm of MAV (Micro Air Vehicles). It’s based on the open-source project Ardupilot, the most advanced, full-featured and reliable open source autopilot software available. It is the only autopilot software capable of controlling any vehicle system imaginable, from conventional airplanes, multirotors, and helicopters, to boats and even submarines.
Humans have always been fascinated with natural swarms, remarkable examples of social organisms that rely upon the mutual coexistence of a multitude of simple elements each one assigned with different functions. Swarm Intelligence is a recent scientific area that take inspiration from the behaviors of living beings and aims to transfer the laws that govern the collective behavior to multi-agents’ hardware and software systems or platforms. The application of swarm intelligence to flying robotics allows to provide them with the ability of self-organization based on some input.
Aerial Media Art (AMA) is a novel form of visual language that aims at exploits the air volume surrounding the audience as a 3D performative media space through a swarm of luminous drones. By using the air volume as the stage, the audience is surrounded by and immersed in the performance in a multi-angle fashion, where each participant has his own point of view. This approach is an effective way to drive participants into the human and machine issue in a personalized way.
The artwork is our contribute to this investigation by exploiting immersive audio-video performance in the aerial space, Aerial Media Art (AMA). Deep music on air is a performance that aims to provide a N-dimensional visualization of music, through the motion, rotation and lighting of our swarm of drones.
We employ Deep Neural Networks trained to listen to a music piece, and we connect abstract generated knowledge to the immersive light performance on air provided by the swarm of drones.
3 Days Seminar + Laboratory organized at University Campus Savona on 20 – 21 -22 February 2017
Three days to describe the ecosystem relationships, thanks to artistic, scientific and technological research.
Define the ecosystem relationships between artistic, scientific and technological research: swarms of drones for aerial choreography inspired by the bee orientation dance.
The event offered a transdisciplinary path for a group made up of artists, designers, scientists, technologists and intellectuals.
The three days saw the alternation of interventions by some of the leading exponents of research in Italy, and laboratory sessions conducted by the founders of LuminousBees, to learn the technologies involved in the project.
The goal is that the intersection between theoretical and practical approach develops both the technical knowledge and the analytical thinking of the participants, around the topics explored: Biologic Inspired Swarm Robotics and prototyping of swarms of micro drones with IOT technologies and data analysis techniques and data visualization, for the expression of choreography and interactive, visual and sound languages, of aerial performance. In particular, the study of the bee will be addressed, intended as an example of an excellent nature for the survival of the species, as a single Superorganism.
The participants in this edition were the first to have contributed to the definition of the ecosystem relationships of the LuminousBees hardware and software platform.