Industrialists interested automates their factories to increase production, reduce costs
and improve quality by using robots in leadership and finishing most of the production
processes, where robots characterized as mechanical structures programma
ble to perform
tasks accurate, speed and reliability.
Research depend in concluding the optimal path on generating virtual paths
(triangular, curved, square) reflects the robotic arm movement to reach the target point,
where as it has been known moving time and angles of rotation and torque in the joints
under the influence of gravity through the study of horizontal and vertical movement of the
robotic arm.
A study of suggested trajectories for the robotic arm shows that the best paths on the
safety of robotic arm motors is semi-circular path as limiting the occurrence of mechanical
shocks or the appearance of high values of the joints torques. while showing that the path
that achieves less time to reach the target point and less amount of energy is the triangular
path in the case of horizontal motion of the robotic arm despite the emergence of sharp
deviations in the torque and power schemas as a result of the sudden change in the
direction of movement.
The negative impact of gravity is especially apparent when the second joint up or
down movement, causing the appearance of peaks in energy curve reflects the high values
of determination in this joint.
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.
Motion Planning is an important and potential issue in Robotics, because it gives the
robot the ability to reach its target automatically with collision free, which increase the
robot performance and reduce its operational cost. The robot motion pl
anning is commonly
divide into two approaches: finding the appropriate path and making the robot tracking this
path until it reaches its goal.
This research depends on one of the most common obstacles avoidance path
planningtechniques (Bug algorithms) to find global path of robot. And make the Boe-Bot
robot (differential drive robot) tracking the paths generated by these algorithms in a certain
environment.
