Multi-objective Design Optimization of the Robot Grippers with SPEA2

Keywords: Engineering Optimization, Multi-objective Optimization, Robot Grippers, SPEA2


Robot grippers are the tools used for gripping, moving and fixing objects. It is integrated into robotic systems that grippers can grip an object for at least one manoeuvre without any damage. Thus, the design optimization of robot grippers has been a research topic in resent. Robot grippers were optimized by various methods for different aims in previous studies. In this study, it is aimed a balanced gripping by optimizing the fluctuation of the power applied to an object by the grippers and power transfer rate between actuator and ends of a gripper. Strength Pareto evolutionary algorithm II (SPEA-II), a multi-objective optimization method, has been applied to the problem for this aim firstly. The experimental results were compared to the result of the previous studies. SPEA-II is superior to the competitor as the comparison. 


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Rao, R.V., Savsani, V.J. ve Vakhaira, D.P. (2011),”Teaching–learning-based optimization: A novel method for constrained mechanical design optimization problems”, Computer Aided Design, 43, 303-315.

Cutkoski, M. R. (1989),” On Grasp Choice, Grasp Models, and the Design of Hands for Manufacturing Tasks”, IEEE Trans. Robot. Automat, 5(3):269–279.

Osyczka, A. ve Krenich, S. (2003),”New methods for multicriteria design optimization using evolutionary algorithms”, in: Workshop: Optimal Design Laboratories de Me´ canique des Solides Ecole Polytechnique Palaiseau, France, November, (2003), pp. 26–28.

C. Lanni and M. Ceccarelli, “An optimization problem algorithm for kinematic design of mechanisms for two-finger grippers,” Open Mech. Eng. J., vol. 3, pp. 49–62, 2009.

Cabrera, J. A., Nadal, F., Munoz, J. P. ve Simon, A. (2007),”Multiobjective constrained optimal synthesis of planar mechanisms using a new evolutionary algorithm”, Mechanism and Machine Theory, 42(7):791–806.

R.A. Abu Zitar, “Optimum gripper using ant colony intelligence”, Industrial Robot:An International Journal 32 (1) (2005) 17–23

M. Li, Q. H. Qin, S. W. Zhang, and H. Deng, “Optimal design for heavy forging robot grippers,” Appl. Mech. Mater., vols. 44–47,pp. 743–747, Dec. 2010.

P. Dao and S. C. Huang, “An optimal study of a gripper compliant mechanism based on Fuzzy-Taguchi method,” Appl. Mech. Mater., vol. 418, pp. 141–144, Sep. 2013.

M. Ciocarlie, F. M. Hicks, and S. Stanford, “Kinetic and dimensional optimization for a tendon-driven gripper,” in Proc. IEEE Int. Conf. Robot. Autom. (ICRA), 2013, pp. 2751–2758.

Osyczka, A. (2002),”Evolutionary algorithms for single and multicriteria design optimization”, Heidelberg: Physica-Verlag.

R. Saravanan, S. Ramabalan, N. Ebenezer, and C. Dharmaraja, “Evolutionary multi criteria design optimization of robot grippers,” Appl. Soft Comput., vol. 9, no. 1, pp. 159–172, 2009.

Datta, R. ve Deb K. (2011),”Multi-Objective Design and Analysis of Robot Gripper Configurations Using an Evolutionary-Classical Approach”, Dublin, Ireland: ACM

Zitzler, E. (1999),” Evolutionary Algorithms for Multiobjective Optimization: Methods and Applications”, Ph. D. thesis, Swiss Federal Institute of Technology (ETH) Zurich, Switzerland. TIK-Schriftenreihe Nr. 30, Diss ETH No. 13398, Shaker Verlag, Aachen, Germany.

Zitzler E.,Laumanns M.,Thiele L.,"SPEA2: Improving the Strength Pareto Evolutionary Algorithm",TIK-Report 103,May 2001

How to Cite
A. Avder, İsmail Şahin, and M. Dörterler, “Multi-objective Design Optimization of the Robot Grippers with SPEA2”, IJISAE, vol. 7, no. 2, pp. 83-87, Jun. 2019.
Research Article