Swarm robotics is the study of the design and governance of multiple robots. The term “Swarm” refers to a group of communicating individuals who wish to accomplish the same task. They are influenced by Swarm's intelligence. The main motivation for swarm robotics comes from the perception of social animals like ants, bees, etc. It deals with decentralized coordination of groups of robots using local logic and supports scalability using local communication via radio or infrared signals. Intrinsic parallelism (to accomplish tasks simultaneously) and redundancy make multi-robot frameworks more robust than single-robot frameworks. Robustness is the probability of system failure which is very low and swarm robotics has high robustness. Miniaturization and price are the main aspects of building swarm robots. In research, working in real environments solves many problems rather than simulations. However, due to some restrictive factors, swarm robotics has not yet been implemented in real-world analysis. Microbotics or Nanorobotics has many applications in the evolving medical field. Say no to plagiarism. Get a tailor-made essay on “Why Violent Video Games Should Not Be Banned”? Get an Original Essay Before introducing the concept of Swarm Robotics (SR), there was a system called Multi-Agent Robot (MAS) based on the concept of multiple robots working together. It forms the basis of communication, coordination, task planning and agent structures scattered throughout robots. Obviously, SR is more advanced than MAS, SR could scale to thousands of robots while MAS systems could not support large numbers. As we discussed previously, the behavior of social insects influenced the development of SR. The global practices of insects have long been considered strange and confusing parts of science. It has been studied that the understanding of the swarm is distributed to all individuals and that a robot cannot accomplish its task without the other counterparts. The organization arises from collaborations between individuals and between individuals and the environment. These bonds are generated throughout the colony and in this way the colony can explain tasks that could not be accomplished by a single individual. These global practices are characterized as self-organizing. It depends on the combination of these four regulations: positive response, negative response, uncertainty and multiple communications. Self-organizing speculations, gained through materials science, can be used to clarify how social insects display complex overall behavior that arises from the communications of normally behaving individuals. According to Erol Şahin, in order to have a clear picture of Swarm robotics and thus In order to have a better understanding and be able to distinguish it from other multi-robot systems, robots must follow this criterion. The swarm robots must be independent robots, ready to sense and instigate in a real-world environment. The number of robots in the swarm must be large or possibly the control rules allow it. The robots must be homogeneous. There may be distinct types of robots in the swarm, but these gatherings should not be excessively numerous. Robots must be inadequate or useless to the fundamental task they must understand, that is, they must team up with the end in mind. objective of achieving or improving.