Robot navigation is challenging for building intelligence mobile robots. To find Proper possible path from starting point to target point, that reduces time and distance, avoiding collision with obstacles is a current potential research area. Rapidly exploring random trees (RRTs)is considered as one of the fastest methods to find solutions. Moreover, this algorithm is computationally efficient; therefore, it can be used in multidimensional environments. This paper reviews the RRT algorithm, and provides application of path planning to differential robot in two different workspaces using Virtual Robot Experimentation Platform) V-REP(simulator. This research clarifies the algorithm’s ability to find suitable path in relatively short time, and demonstrated the ability of V-rep to model and 3D simulate of mobile robot’s movement efficiently and smoothly.