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• W2078160076 abstract "SUMMARY Inverse kinematics (IK) is a nonlinear problem that may have multiple solutions. A modified genetic algorithm (GA) for solving the IK of a serial robotic manipulator is presented. The algorithm is capable of finding multiple solutions of the IK through niching methods. Despite the fact that the number and position of solutions in the search space depends on the position and orientation of the end-effector as well as the kinematic configuration (KC) of the robot, the number of GA parameters that must be set by a user are limited to a minimum through the use of an adaptive niching method. The only requirement of the algorithm is the forward kinematics (FK) equations which can be easily obtained from the Denavit–Hartenberg link parameters and joint variables of the robot. For identifying and processing the outputs of the proposed GA, a modified filtering and clustering phase is also added to the algorithm. For the postprocessing stage, a numerical IK solver is used to achieve convergence to the desired accuracy. The algorithm is validated on three KCs of a modular and reconfigurable robot (MRR)." @default.
• W2078160076 created "2016-06-24" @default.
• W2078160076 creator A5037327989 @default.
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• W2078160076 date "2009-05-26" @default.
• W2078160076 modified "2023-10-02" @default.
• W2078160076 title "An adaptive niching genetic algorithm approach for generating multiple solutions of serial manipulator inverse kinematics with applications to modular robots" @default.
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• W2078160076 doi "https://doi.org/10.1017/s0263574709005803" @default.
• W2078160076 hasPublicationYear "2009" @default.
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