Optimization of Robotic Arm Trajectory Using Genetic Algorithm

نویسندگان

  • Stanislav Števo
  • Ivan Sekaj
  • Martin Dekan
چکیده

The paper presents a genetic algorithm based design approach of the robotic arm trajectory control with the optimization of various criterions. The described methodology is based on the inverse kinematics problem and it additionally considers the minimization of the operating-time, and/or the minimization of energy consumption as well as the minimization of the sum of all rotation changes during the operation cycle. Each criterion evaluation includes the computationally demanding simulation of the arm movement. The proposed approach was verified and all the proposed criterions have been compared on the trajectory optimization of the industrial robot ABB IRB 6400FHD, which has six degrees of freedom.

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تاریخ انتشار 2014