OBSTACLE AVOIDING ROBOT

 

OBSTACLE AVOIDING ROBOT

 

ABSTRACT:

                              Obstacle avoiding Robot

CATEGORY PREFERENCE:

                        Robotics is part of today’s communication. In today’s world ROBOTICS is fast growing and interesting field. It is simplest way for latest technology modification. Now a day’s communication is part of advancement of technology, so we decided to work on ROBOTICS field, and design something which will make human life simpler in day today aspect. Thus we are supporting this cause.

 

OBJECTIVE:

 This project is basic stage of any automatic robot. This ROBOT has sufficient intelligence to cover the maximum area of provided space. It has an infrared sensor which is used to sense the obstacles coming in between the path of ROBOT. It will move in a particular direction and avoid the obstacle which is coming in its path.

IMPLEMENTATION METHODOLOGY:

We have used two D.C motors to give motion to the ROBOT. The construction of the ROBOT circuit is easy and small .The electronics parts used in the ROBOT circuits are easily available and cheap too.

APPLICATION:

Real-time obstacle avoidance is one of the key issues to successful applications of mobile robot systems. All mobile robots feature some kind of collision avoidance, ranging from primitive algorithms that detect an obstacle and stop the robot short of it in order to avoid a collision, through sophisticated algorithms, that enable the robot to detour obstacles.

 

JUSTIFY CHOICE OF CATEGORY:

 

 Autonomous navigation, in general, assumes an environment with known and unknown obstacles, and it includes global path planning algorithms [3] to plan the robot's path among the known obstacles, as well as local path planning for real-time obstacle avoidance. This article, however, assumes motion in the presence of unknown obstacles, and therefore concentrates only on the local obstacle avoidance aspect

BASIC EXPLANATION OF THE PROJECT:

 

The latter algorithms are much more complex, since they involve not only the detection of an obstacle, but also some kind of quantitative measurements concerning the obstacle's dimensions. Once these have been determined, the obstacle avoidance algorithm needs to steer the robot around the obstacle and resume motion toward the original target. Autonomous navigation represents a higher level of performance, since it applies obstacle avoidance simultaneously with the robot steering toward a given target.