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Information Journal Paper

Title

PRESENTING A NEW METHOD FOR INVERSE KINEMATIC SOLUTION AND OPTIMIZATION OF HYPER REDUNDANT MANIPULATOR PERFORMANCE BY GENETIC ALGORITHM

Pages

  65-73

Abstract

 In this Paper, an efficient and quick method for inverse kinematic solution of hyper-redundant manipulators is presented. In addition, it minimizes the joints' displacement, energy consumption, and actuators torque while the end effecter reaches the target. Due to the flexibility of the GENETIC ALGORITHM, it is capable of handling any number of CONSTRAINTs. At the end, the simulation result is compared with a method based on workspace density function. The advantages of new method are fast, OPTIMIZATION of robot function, handling many CONSTRAINTs, independent of joint design, real time, minimum error and ability to control the direction of reaching the target.

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    APA: Copy

    DALIL SAFAEI, S., & BARAZANDEH, FARSHAD. (2008). PRESENTING A NEW METHOD FOR INVERSE KINEMATIC SOLUTION AND OPTIMIZATION OF HYPER REDUNDANT MANIPULATOR PERFORMANCE BY GENETIC ALGORITHM. JOURNAL OF CONTROL, 2(1), 65-73. SID. https://sid.ir/paper/120929/en

    Vancouver: Copy

    DALIL SAFAEI S., BARAZANDEH FARSHAD. PRESENTING A NEW METHOD FOR INVERSE KINEMATIC SOLUTION AND OPTIMIZATION OF HYPER REDUNDANT MANIPULATOR PERFORMANCE BY GENETIC ALGORITHM. JOURNAL OF CONTROL[Internet]. 2008;2(1):65-73. Available from: https://sid.ir/paper/120929/en

    IEEE: Copy

    S. DALIL SAFAEI, and FARSHAD BARAZANDEH, “PRESENTING A NEW METHOD FOR INVERSE KINEMATIC SOLUTION AND OPTIMIZATION OF HYPER REDUNDANT MANIPULATOR PERFORMANCE BY GENETIC ALGORITHM,” JOURNAL OF CONTROL, vol. 2, no. 1, pp. 65–73, 2008, [Online]. Available: https://sid.ir/paper/120929/en

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