摘要
通过对近10年来,国内外学者和工程技术人员在机器人神经网络控制领域中所发表的文献进行分析比较,概述了神经网络在该领域内的研究现状与进展;按照神经网络与机器人不同研究方向的结合,分别介绍了国内外学者在本领域所取得的成功的理论和方法;在当前最新研究成果的基础上,若能将神经网络与柔性机器人、冗余机器人和协调机器人结合起来,将是机器人研究的又一重要方向。此外,神经网络在机器人系统中的实际应用也是今后努力的方向之一。
Present situation and developing trend of neural network used in robot control are summarized and the newest international research fruits in this field are presented. On the basis of analysis and comparison, the theories and methods developed in literatures that have been published during the last decade are classified according to neural network's application in different robot research aspects. The study of combining neural network with flexible robot, redundant robot and cooperating robot is an important aspect in subsequent research. Neural network's practical application in robot system is another crucial aspect demanding extensive work.
出处
《北京工业大学学报》
CAS
CSCD
北大核心
2003年第1期5-11,共7页
Journal of Beijing University of Technology
基金
国家自然科学基金资助项目(59975001)
北京市自然科学基金资助项目(3012003)
