{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T17:22:28Z","timestamp":1771003348421,"version":"3.50.1"},"reference-count":15,"publisher":"SAGE Publications","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"published-print":{"date-parts":[[2023,2,4]]},"abstract":"<jats:p>In order to solve the cooperation problem between the two arms of the dual arm robot, improve the effect and accuracy of the path planning of the intelligent robot, in this study, a new path planning algorithm for dual arm space (DAS) intelligent robot is designed. By analyzing the kinematics performance of DAS intelligent robot, the operation law of DAS intelligent robot is determined. By analyzing the collision that needs to be considered during the operation of DAS intelligent manipulator, a collision detection method based on capsule envelope is proposed to detect the collision of obstacles in the running path. Finally, the path planning model of DAS intelligent robot is designed by using immune genetic algorithm. The experimental results show that the path planned by this method can avoid obstacles and dangerous areas, and the accuracy of path planning for the existing environment is always higher than 90%. With the increase of iteration times, the planning time is relatively stable, about 5.5 seconds. The proposed method can enhance the effect and accuracy of path planning, effectively shorten the time of path planning, and improve the work efficiency of DAS intelligent robot.<\/jats:p>","DOI":"10.3233\/jcm-226540","type":"journal-article","created":{"date-parts":[[2022,11,11]],"date-time":"2022-11-11T11:29:18Z","timestamp":1668166158000},"page":"285-296","source":"Crossref","is-referenced-by-count":1,"title":["Path planning algorithm of dual arm space intelligent robot"],"prefix":"10.1177","volume":"23","author":[{"given":"Qiuyan","family":"Guo","sequence":"first","affiliation":[]}],"member":"179","reference":[{"issue":"3","key":"10.3233\/JCM-226540_ref1","first-page":"27","article-title":"Hardness of motion planning with obstacle uncertainty in two dimensions","volume":"12","author":"Shimanuki","year":"2021","journal-title":"Int J Rob 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optimization","volume":"10","author":"Du","year":"2020","journal-title":"Mod Manuf Eng."},{"issue":"3","key":"10.3233\/JCM-226540_ref9","first-page":"39","article-title":"Obstacle avoidance path planning for double manipulator based on improved artificial potential field method","volume":"44","author":"Xue","year":"2020","journal-title":"J Mech Trans."},{"issue":"10","key":"10.3233\/JCM-226540_ref10","first-page":"3089","article-title":"Improved particle swarm optimization algorithm for mobile robot path planning","volume":"38","author":"Hu","year":"2021","journal-title":"Appl Res Comput."},{"issue":"2","key":"10.3233\/JCM-226540_ref11","first-page":"86","article-title":"Route choice behavior of urban rail transit passengers under express\/local line parallel-operation","volume":"34","author":"Zhang","year":"2021","journal-title":"Urban Rapid Rail Transit."},{"issue":"5","key":"10.3233\/JCM-226540_ref12","first-page":"78","article-title":"Path planning for intelligent vehicle based on scene modeling from LiDAR","volume":"38","author":"Wang","year":"2020","journal-title":"J Transp Inf Saf."},{"issue":"3","key":"10.3233\/JCM-226540_ref13","first-page":"585","article-title":"Path planning and tracking control of autonomous vehicle for obstacle avoidance","volume":"41","author":"Deng","year":"2020","journal-title":"Acta Armamentarii."},{"issue":"11","key":"10.3233\/JCM-226540_ref14","first-page":"96","article-title":"Research on ground laser point cloud separation method based on mesh","volume":"36","author":"Dong","year":"2019","journal-title":"Comput Simul."},{"issue":"1","key":"10.3233\/JCM-226540_ref15","first-page":"312","article-title":"Robot path planning considering obstacles avoidance supported by big data","volume":"38","author":"Zhang","year":"2021","journal-title":"Comput Simul."}],"container-title":["Journal of Computational Methods in Sciences and 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