Inverse Kinematic Multiobjective Optimization For A Vehicle-Arm Robot System Using Evolutionary Algorithms
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This work is aimed at discussing the solution of the inverse kinematic problem using Multi- Objective Evolutionary Algorithms (MOEA) for a vehicle-arm redundant robot. A simplified 5 DoF model was used to simulate the problem and the objective functions were properly selected assuming underwater operation. In addition, we present a review of the most important techniques used for solving the inverse kinematic problem, focusing at the end on the application of a Non-Dominated, Sorting, Elitist MOEA with nonlinear constraints.