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Swarm robotics is the study of how to design independent systems of robots without centralized control. The emerging swarming behavior of robotic swarms is created through the interactions between individual robots and the environment. [1]
Swarm robotic platforms apply swarm robotics [1] in multi-robot collaboration. [2] They take inspiration from nature (e.g. collective problem solving mechanisms seen in nature such as honey bee aggregation [3] [4]). The main goal is to control a large number of robots (with limited sensing/processing ability) to accomplish a common task/problem.
Examples of swarm intelligence in natural systems include ant colonies, bee colonies, bird flocking, hawks hunting, animal herding, bacterial growth, fish schooling and microbial intelligence. The application of swarm principles to robots is called swarm robotics while swarm intelligence refers to the more general set of algorithms.
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.
In some cases, operations are managed by artificial intelligence algorithms, increasingly prevalent with larger swarms or more complex robots, which require elements of autonomy to work together effectively. While in its early stage of development, swarm 3D printing is currently being commercialized by startup companies.
Continuous advancements in technology, such as robotic catheter control systems (CCS), data recorders, data analytics, remote navigation, motion sensors, 3D-Imaging, and HD surgical microscopic cameras, are projected to drive industry growth. Furthermore, the introduction of swarm robotics is opening new opportunities for industry.
Robot swarms. Land based rovers as well as aerial drones programmed with swarmalator models have been created [21] and has recreated the five collective states of the swarmalator model (see Mathematical Models section for the plot of these states). The linking of sync and swarming defines a new kind of bio-inspired algorithm which several ...
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.