Abstract
The project is a robot that automatically by passes barriers to reach a specific goal with an ultrasonic help that senses obstacles and measures the remaining transitions before the collision is meet. The robot changes its course with a couple of DC motors, Robot runs automatically without any interference by the Proportional-Integral-Derivative (PID) algorithm. The goal of this paper is to develop a path planning method that is capable of planning the mobile robot path from the starting position to the target position in different environments. However, the parameters of membership functions and PID controller parameters have optimized by using particle swarm optimization (PSO) algorithm. In addition to that, the proposed method with two Schemes of motion controllers are test with varying static and dynamic environments with and without load. The artificial potential field algorithm is introduce for path planning of mobile robot. However, the potential field algorithm is effective in avoiding unknown obstacles, but it contains minimal local problems, then a modified field algorithm is introduce to overcome some of the local minimum problems in the environment. Therefore, it is enhancing the performance of potential field algorithm and to produce a more efficient path planning method, that to allow mobile robot to navigate in dynamic and complex environments. As well as, simulation of mobile robot is design to test and implement the proposed method and control schemes using MATLAB and the software is develops by using C++ language and Arduino IDE. DOI : 10.7176/CEIS/10-3-03 Publication date : April 30 th 2019
Highlights
Robotics is interested in studying those machines that can replace humans in the task of performing physical activity and decision-making
The mobile robot navigation problem can be classifies in the following two problems: The first one is goal access and it is a global problem because the short paths to point three a public destination, cannot obtain local information only
The second one is “Avoiding obstacles” problem, this can be often solved using only local information, but for environments that are unknown it cannot be solved in advance because the robot needs to sense the obstacles before it can be expected to avoid them
Summary
Robotics is interested in studying those machines that can replace humans in the task of performing physical activity and decision-making. Mobile robot’s navigation can considered as a task of finding or determining a collision free path that enables the robots to transfer through obstacles from start location to a goal location. The mobile robot navigation problem can be classifies in the following two problems: The first one is goal access and it is a global problem because the short paths to point three a public destination, cannot obtain local information only. The second one is “Avoiding obstacles” problem, this can be often solved using only local information, but for environments that are unknown it cannot be solved in advance because the robot needs to sense the obstacles before it can be expected to avoid them. Artificial potential field is one of the methods that used to solve above two problems of navigation, “Reaching to the goal” using attractive force of potential filed and “Avoiding obstacles” using repulsive of potential field
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