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Swarm robotics

Coordination of multiple robots as a system

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Relatively simple individual rules can produce a large set of complex swarm behaviors. A key component is the communication between the members of the group that build a system of constant feedback. The swarm behavior involves constant change of individuals in cooperation with others, as well as the behavior of the whole group.

Key Attributes of Robotic Swarms

The design of swarm robotics systems is guided by swarm intelligence principles, which promote fault tolerance, scalability, and flexibility. 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:

  1. Robots are autonomous.
  2. Robots can interact with the surroundings and give feedback to modify the environment.
  3. Robots possess local perceiving and communicating capabilities, such as Wireless transmission systems, like radio frequency or infrared.
  4. Robots do not exploit centralized swarm control or global knowledge.
  5. Robots cooperate with each other to accomplish the given task.

Miniaturization is also key factor in swarm robotics, as the effect of thousands of small robots can maximize the effect of the swarm-intelligent approach to achieve meaningful behavior at swarm-level through a greater number of interactions on an individual level.

Compared with individual robots, a swarm can commonly decompose its given missions to their subtasks; a swarm is more robust to partial failure and is more flexible with regard to different missions.

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