Trajectory Planning of Sampling Robot Based on Improved Artificial Hummingbird Algorithm
In order to realize the automation of sampling process in steelmaking,the sampling process lay-out is designed,and the trajectory planning of sampling path points is carried out by seventh-degree polyno-mial interpolation with the selected industrial robot as the research object.A robot trajectory planning meth-od based on improved artificial hummingbird is proposed,and the optimization objective is time-impact to improve the operational stability of the sampling robot.The simulation results show that the sampling robot runs smoothly in the working process and the sampling process layout is reasonable.Compared with the standard artificial hummingbird algorithm and the standard genetic algorithm,the improved artificial hum-mingbird algorithm has better convergence speed and algorithm accuracy,and the operation stability and production efficiency are greatly improved.
sampling process for steelmakingsampling robottrajectory planningtime-impactartificial hummingbird algorithm
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