[Details] Why clustered UAVs are trend-critical technologies? (on)

As a field with rapid development and short iteration cycles, the trend of UAV technology has been the focus of discussion in the industry.

In August of this year, at the CCF-GAIR Summit organized by the Chinese Computer Society and organized by Lei Fengnet, Prof. Vijay Kumar, who was known as the god of drones, proposed his 5S trend theory: Small, Safe, Smart. (Intelligent), Speed ​​and Swarm (cluster). Unlike the first four S, which have been widely studied, Swarm cluster technology is currently focused on academic and defense fields. Swarm Intelligence is a The game-changing subversive technology has always been regarded as the breakthrough of unmanned combat by the Chinese and US troops.

Recently, at the Zhuhai Airshow, China Electronics CETC disclosed China's first fixed-wing UAV cluster prototype prototype system, which achieved 67 scale cluster principle verifications, breaking the 50 fixed-wing wings previously held by the US Navy. The world record of man-machine clusters was achieved by CETC Institute of Electrical Engineering, Tsinghua University and Poisson Technology. Combining the shocking aerial light show of the Intel team of 100 and 500 multi-rotor UAVs this year, we can already see the clues of the development of UAV cluster technology. We can even predict with care that the cluster technology may be the development of UAV technology. The next important hot spot.

Concept and origin

Swarm behaviour, or swarming, is a collective behavior of an organism. The most typical example is that it looks like a group of entities gather together to make a circle or move in a specific direction. In the biological world, insects, birds, fish, aquatic animals, humans and bacteria all exhibit cluster behavior.

The clustering technology of robots is inspired by nature. Just as the invention of aircraft at the beginning of last century was inspired by the birds, the concept of drone clusters originated from ancient insect bees. The division of workers within the colony was clear, and individuals were rich and interesting. Language of information exchange, rich social behavior.

As early as 120 million years ago, honeybees were clustered on the earth. Each bee colony was made up of queen bees, worker bees, and drones. The queen of bees usually had only one in each group; worker bees ranged in number from thousands to tens of thousands. Drones usually only exist in the seasons that the group needs. One of the poems of the Song Dynasty poet Dai Baih-chien wrote in "Yi-Wan Xing": "Mo Moo and Begashi in the Chao dynasty knew quite a bit about bee colony. One of the bees was in the midst of the largest point, and it was divided into thousands." Conceptually, similar to fish school, flock of birds, bee colonies, and ant colonies, the clustering action of robots can also be described in this terminology, so we have created the concept of a drone cluster or UAVSwarm.

From an abstract perspective, group behavior is the collective movement of a large number of self-driven particle systems.

From a mathematical model's point of view, it is an Emergence behavior, in which individuals follow simple rules of movement and logic and do not require any central coordination of the center, but can spontaneously present group characteristics.

Cluster behavior has also been studied by physicists as a non-thermodynamic equilibrium phenomenon. They need to study new statistical physics tools to deal with this non-thermodynamic equilibrium system. In the 1980s, when theoretical research was still in its infancy, numerical computational scientists first simulated the behavior of groups on a computer using a simulation program, boids, which simulates the movement of a set of simple agents based on a set of basic rules. This program is first used to simulate birds. The cluster behavior was later used to study fish and other colony animals.

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