ABSTRACT
More theories have developed into a distributed coordination and control of autonomous agents, where the robot set performance in environment only shortrange communication is possible [1]. By performing actions based on the presence or absence of signal, algorithms have made some county regiment on creating a task; Reconnaissance, for example, areas of interest, at the same time to collect data or keep formation. In this paper, we will investigate an implementation of searching algorithms, similar to those used by flagellated bacteria, in a robotic system [2]. Many flagellated bacteria such as E. coli, using the run-and-tumble search strategy of movement by more or less interrupted fall in the short run directly. When their motors rotate counter-clockwise the flagella form a bundle that propels the cell forward with a roughly constant speed; when one or more motors rotate clockwise the bundle flies apart and the cell ‘tumbles’. Similar behavior can be observed in swarms of animals, avoiding predators and coordinating themselves within a group [3]. The behavior of E. coli is often modelled as a velocity jump process where the time spent tumbling is neglected as it is much smaller than the time spent running.
