In the intelligent hybrid robot control system,the path planning algorithm has high complexity,weak adaptability to environmental changes,and single control function,which leads to large delay and high control difficulty in practical use,and cannot adapt to complex environment.To solve the above problems,an intelligent hybrid robot edge computing method is proposed,which provides network,computing and storage services near users or data sources,and accurately locates the current environment.By comparing ant colony optimization(ACO),fireworks algorithm(FWA)and A∗algorithm,it is determined that the path planning of A∗algorithm can iterate the shortest path trajectory faster.Meanwhile,cubic multinomial interpolation is used to optimize the motion trajectory of the robot arm,so that the intelligent hybrid robot can locate the object more quickly and grasp it accurately,so that it can be applied to more scene requirements.
维普
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