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. Rapid
ly 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.