摘要
在ABB机器人工作站基础上,研究码垛工艺普通功能实现法、码垛工艺计时功能实现法、码垛工艺样式选择实现法等三类码垛工艺实现方法,并通过RBF神经网络对其进行轨迹优化,从而提高其轨迹准确性。通过对码垛工艺实现方法的研究,能够有效地提高码垛工艺轨迹的稳定性与效率。
Based on ABB robot workstation,this paper studied that palletizing process general function realization method,palletizing process timing function realization method,palletizing process style selection method.And by RBF neural network for trajectory optimization,so as to improve the accuracy of the path.Based on the research of the palletizing process implementation method,can effectively improve the stability and efficiency of palletizing process path,cultivate high-quality skilled personnel to provide technology and theory support.
作者
嵇朋朋
陈育中
周刘喜
席飞
JI Peng-peng;CHEN Yu-zhong;ZHOU Liu-xi;XI Fei(Department of electrical engineering,Nanjing Branch of Jiangsu Union Technical Institute,Nanjing Jiangsu 210019,China;School of Atmospheric Physics,Nanjing University of Information Science and Technology,Nanjing Jiangsu 210044,China)
出处
《淮阴师范学院学报(自然科学版)》
CAS
2020年第1期45-49,共5页
Journal of Huaiyin Teachers College;Natural Science Edition
基金
高等院校计算机基础教育研究会课题项目(2019-AFCEC-218)
江苏省职业教育教学改革研究课题项目(ZZZ6,ZCZ10)。