Swarm robotics is the study of designing and governing multiple robots. The term "Swarm" refers to a group of communicating individuals who wish to achieve the same task. They are influenced by the Swarm's intelligence. The main motivation for swarm robotics originates from the perception of social animals such as ants, bees, etc. It deals with the decentralized coordination of groups of robots using local logic and supports scalability by making use of local communication via radio or infrared signals. Inherent parallelism (to perform tasks simultaneously) and redundancy make multi-robot frameworks more robust than single-robot frameworks. Robustness is that the probability of system failure is very low, and swarm robotics has high robustness. Miniaturization and price are the main aspects in building swarm robotics. In research, working in a real environment solves many problems rather than simulations. However, due to some limiting factors, swarm robotics has yet to be implemented in real-world analysis. Microbotics or Nanorobotics has many applications in the progressing medical field. Say no to plagiarism. Get a tailor-made essay on "Why Violent Video Games Shouldn't 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 several robots working together. It laid the foundation for widespread communication, coordination, task planning, and agent structures in robots. Evidently, SR is more advanced than MAS, SR could reach thousands of robots while MAS systems could not support large numbers. As we discussed previously, the conduct of social insects influenced the development of SR. Global insect practices have long been considered a strange and baffling part of science. It has been studied that swarm understanding is distributed to all individuals and a robot cannot perform its task without its other counterparts. The organization arises from collaboration between individuals and between individuals and the environment. These connections are generated throughout the colony and in this way the colony can carry out tasks that cannot be tackled by one individual alone. These aggregate 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 from materials science, can be used to elucidate how social insects exhibit complex aggregate conduct that emerges from the communications of normally behaving individuals. According to Erol Şahin, to get a clear picture of swarm robotics and so on to have a better understanding and be able to separate it from other multi-robot systems, robots should follow these criteria. Swarm robots must be independent robots, ready to detect and incite in a real environment. The number of robots in the swarm must be large or possibly the control rules allow it. Robots must be homogeneous. There may be different types of robots in the swarm, but these groups do not have to be excessively large. Robots must be inadequate or expensive for the fundamental task they must perform, that is, they must team up with the goal of succeeding or improving performance in mind. Robots only have nearby communication and sensing capabilities. It ensures that coordination is widespread, so adaptability becomes one of the properties of the.