摘要
对于工业机器人而言最优能量路径规划时现代机器人发展的重点方向之,本文综合参考了大量国内外工程经验以及相关参考文献,提出了基因环境双演化免疫克隆算法。利用这一套算法对工业机器人的轨迹进行优化升级的问题进行了一定的研究,以达到最优时间和最优能量轨迹的目的。
for industrial robots,the key direction of modern robot development is the optimal energy path planning.Based on a lot of domestic and foreign engineering experience and relevant references,a bievolutionary immune cloning algorithm for genetic environment is proposed.In order to achieve optimal time and energy trajectory,the optimization and upgrading of industrial robot's trajectory are studied.
出处
《数码设计》
2018年第9期158-158,共1页
Peak Data Science
关键词
工业机器人
轨迹规划
基因环境双演化免疫克隆算法
industrial robot
trajectory planning
gene environment bievolutionary immune cloning algorithm
