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The design of swarm robotics systems is guided by swarm intelligence principles, which promote fault tolerance, scalability, and flexibility. [1] Unlike distributed robotic systems in general, swarm robotics emphasizes a large number of robots. While various formulations of swarm intelligence principles exist, one widely recognized set includes:
The Kilobot placed first in the roaming category of the 2012 African Robotics Network $10 Robot Design Challenge, which asked engineers to create low-cost robots for educating children in developing countries. [5] The Kilobot was created for the purpose of making a cheap swarm-bot more affordable to the general public.
Locust swarms had infested 23 countries by April 2020. East Africa was the epicenter of the locust crisis—with Ethiopia, Kenya, Somalia, and Uganda among the affected countries. However, the locusts had traveled far, wiping out crops in Pakistan and damaging farms in Yemen, a fragile country already hit hard by years of conflict.
Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial intelligence. The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems. [1] [2]
He cited locust swarms in Africa and Asia two years ago that spanned about 100 square miles. In Kenya, one swarm was "25 miles by 37 miles wide," he said. "Locust are normal for that part of the ...
Xenobots have been designed to walk, swim, push pellets, carry payloads, and work together in a swarm to aggregate debris scattered along the surface of their dish into neat piles. They can survive for weeks without food and heal themselves after lacerations. [2] Other kinds of motors and sensors have been incorporated into xenobots.
Slaughterbots is a 2017 arms-control advocacy video presenting a dramatized near-future scenario where swarms of inexpensive microdrones use artificial intelligence and facial recognition software to assassinate political opponents based on preprogrammed criteria.
By extension, the term "swarm" is applied also to inanimate entities which exhibit parallel behaviours, as in a robot swarm, an earthquake swarm, or a swarm of stars. From a more abstract point of view, swarm behaviour is the collective motion of a large number of self-propelled entities . [ 2 ]