Modeling and Interpolation Algorithm Practice of Target Detection in Human-computer Collaborative Sorting System
In order to improve the efficiency and quality of the logistics sorting system,it is proposed to replace the single arm system in the existing sorting system with a double arm system,and then use an improved interpolation algorithm to plan the motion trajectory of the mechanical arm.A depth based target detection algorithm is also designed to assist the sorting work of the double arm system.In the experimental results,the improved interpolation algorithm has a running speed of around 0.55 s and a loss degree of a-round 0.05.After improving the two algorithms used in the study,the running speed of the algorithm was increased,the loss of the algorithm was reduced,the effectiveness of interpolation algorithm in path planning was improved,and the target detection perform-ance of deep learning networks was also improved.In the simulation experiment,the end positions of the left and right robotic arms of the dual arm system,as well as the change curves of the attitude,exhibit stable and continuous characteristics,fully meeting the de-sign requirements of the study.
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