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Volume 9 Issue 2 - November 2017

  • 1. A novel approach to path planning of robots by detecting dynamic obstacles

    Authors : Syed Nawaz Pasha, D. Ramesh, G Roopa

    Pages : 13-16

    DOI : http://dx.doi.org/10.21172/1.92.04

    Keywords : Artificail Intelligence,Path planning,Mobile Robot

    Abstract :

    Artificial intelligence has gained importance in the area of robotics. The robot that thinks like humans andact according is a big area of research. The problem of finding optimal path from source to destination inrobotic movement is important. The path planning in robots typically consists of two types. One is the staticpath in which the obstacles are static and the path is also fixed. The robot moves in that specified path instatic path planning. In dynamic path planning the obstacles will be in motion and there is no fixed path.Hence the robot has to determine the collision free path identifying the moving obstacles and plan its pathaccordingly. Before identifying the optimal path first we need to identify optimal obstacles so that it reducesthe search space. The obstacles are static if the distance between the robot and the obstacle is constant. If the obstacle is a dynamic one then the distance between the robot and the obstacle will be changing. The robot will be incorporated with sensors that will be able to sense the obstacles within the specified range. In this paper we propose a method how to detect moving obstacle and plan a path that is collision free. We assume that if the distance between the robot and obstacle is increasing then the obstacle is moving away from the robot and the path is free so that the robot can move forward. But if the movement of the obstacle is towards the robot then we calculate the distance take an alternative path. The Movement of the robot is based on the sensory information of the obstacles.

    Citing this Journal Article :

    Syed Nawaz Pasha, D. Ramesh, G Roopa, "A novel approach to path planning of robots by detecting dynamic obstacles", Volume 9 Issue 2 - November 2017, 13-16

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