2013 Awards for Excellence
Article Type: 2013 Awards for Excellence From: Industrial Robot: An International Journal, Volume 41, Issue 1
The following article was selected for this year’s Outstanding Paper Award for Industrial Robot: An International Journal
"Comparing the efficiency of five algorithms applied to path planning for industrial robots"
Francisco Rubio, Fares J. Abu-Dakka, Francisco Valero and Vicente Mata
ICTV, Polytechnic University of Valencia, Valencia, Spain
Purpose – The purpose of this paper is to compare the quality and efficiency of five methods for solving the path planning problem of industrial robots in complex environments. In total, five methods are presented for solving the path planning problem and certain working parameters have been monitored using each method. These working parameters are the distance travelled by the robot and the computational time needed to find a solution. A comparison of results has been analyzed. After this study, it could be easy to know which of the proposed methods is most suitable for application in each case, depending on the parameter the user wants to optimize. The findings have been summarized in the conclusion section. The five techniques which have been developed yield good results in general. The algorithms introduced are able to solve the path planning problem for any industrial robot working with obstacles. The path planning algorithms help robots perform their tasks in a more efficient way because the path followed has been optimized and therefore they help human beings work together with the robots in order to obtain the best results from them. The paper shows which algorithm offers the best results, depending on the example the user has to solve and the parameter to be optimized.
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Keywords: Collision avoidance, Industrial robots, Kinematics, Multi-arms robot, Off-line programming, Path planning, Programming and algorithm theory, Robots
This article originally appeared in Volume 39 Number 6, 2012, pp. 580-591. Industrial Robot: An International Journal
The following articles were selected for this year’s Highly Commended Award
“Optimal time trajectories for industrial robots with torque, power, jerk and energy consumed constraints
Francisco Rubio, Francisco Valero, Joseph Sunyer, Juan Cuadrado
This article originally appeared in Volume 39 Number 1, 2012, Industrial Robot: An International Journal
“Optimum motion control of palletizing robots based on iterative learning
Nan Luan, Haiqing Zhang, Shanggao Tong
This article originally appeared in Volume 39 Number 2, 2012, Industrial Robot: An International Journal
“Real-time image capturing and processing of seam and pool during robotic welding process
Yanling Xu, Huanwei Yu, Jiyong Zhong, Tao Lin, Shanben Chen
This article originally appeared in Volume 39 Number 5, 2012, Industrial Robot: An International Journal
Outstanding reviewer
Grazia Cicirelli
Institute of Intelligent Systems for Automation, Bari, Italy
