Research of Anti-Collision Method in Robot Path Planning Process

2014 ◽  
Vol 644-650 ◽  
pp. 323-325
Author(s):  
Tao Hua Ma

In the research of robot path planning anti-collision method, with the traditional algorithm to plan robot path, the planning processis single, cumbersome and inefficient. To this end, a mobile robot path planning method based on potential field genetic fusion algorithm is proposed to establish the relationship model of different force in artificial potential field, and calculate attractive and repulsive forces applied on robotics in the artificial potential field, according to the attractive and repulsive forces to complete the anti-collision handling in route planning process. Experimental results show that the improved algorithm for anti-collision process in robot path planning, can effectively improve the computational efficiency for the anti-collision, expand its application field and enhance the technicality of anti-collision.

Author(s):  
H. H. Triharminto ◽  
O. Wahyunggoro ◽  
T. B. Adji ◽  
A. I. Cahyadi ◽  
I. Ardiyanto

<p>In this paper, the issue of local minima associated with GNRON (Goal Nonreachable with Obstacles Nearby) has been solved on the Artificial Potential Field (APF) for robot path planning. A novel of repulsive potential function is proposed to solve the problem. The consideration of surrounding repulsive forces gives a trigger to escape from the local mi- nima. Addition of signum function on the repulsive force which considers relative distance between the robot and the goal ensures that the goal position is the global optima of the total potential. Simulation conducted to prove that the proposed algorithm can solve GNRON and local minima problem on APF. Scenario of each simulation set in different type of obs- tacle and goal condition. The results show that the proposed method is able to handle local minima and GNRON problem.</p>


Author(s):  
H. H. Triharminto ◽  
O. Wahyunggoro ◽  
T. B. Adji ◽  
A. I. Cahyadi ◽  
I. Ardiyanto

<p>In this paper, the issue of local minima associated with GNRON (Goal Nonreachable with Obstacles Nearby) has been solved on the Artificial Potential Field (APF) for robot path planning. A novel of repulsive potential function is proposed to solve the problem. The consideration of surrounding repulsive forces gives a trigger to escape from the local mi- nima. Addition of signum function on the repulsive force which considers relative distance between the robot and the goal ensures that the goal position is the global optima of the total potential. Simulation conducted to prove that the proposed algorithm can solve GNRON and local minima problem on APF. Scenario of each simulation set in different type of obs- tacle and goal condition. The results show that the proposed method is able to handle local minima and GNRON problem.</p>


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