Inverse kinematic solutions for a dual redundant camera robot in position are examined in order to alleviate operation difficulty\nand reduce time.The inverse kinematic algorithm is based on a basic genetic algorithm, and the genetic algorithm which is used to\nsolve the problem of a redundant robot is mainly optimized in the joint space. On this basis, the genetic algorithm improvement\nstrategies are studied. In this paper, a genetic algorithm with constrained 2 redundant degrees of freedom (DOF) is proposed\nthrough setting 2 parameter variables, with more flexible structure of optimization objective function and more efficient algorithm\nthan basic genetic algorithm. Finally, the result of inverse kinematic algorithm is achieved in terms of the physical prototype.
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