基于改进机器学习算法的图书馆智能导览机器人控制
Library intelligent navigation robot control based on improved machine learning algorithm
王琦1
作者信息
- 1. 郑州大学图书馆,郑州 450001;郑州大学科学技术信息研究所,郑州 450001
- 折叠
摘要
针对传统智能导览机器人驱动系统参数固定不变的问题,提出了一种基于全局在线启发式动态规划比例积分控制方法.该方法属于一种改进的机器学习算法,可以通过不断的在线学习自动调整参数,从而增强智能导览机器人驱动系统的抗扰动能力.最后对所提出的算法进行验证,并和传统方法进行比较.结果表明,所提出的方法可以有效提高智能导览机器人驱动系统的鲁棒性和抗扰动能力.
Abstract
Aiming at the problem that the driving system parameters of traditional intelligent navigation robot are fixed,goal representation heuristic dynamic programming proportional integral control method is proposed.This method is an improved ma-chine learning algorithm,which can automatically adjust the parameters through continuous online learning,so as to enhance the anti-disturbance ability of the driving system of the intelligent navigation robot.Finally,the proposed algorithm is verified and com-pared with the traditional method.The results show that the proposed method can effectively improve the robustness and anti-disturbance ability of the driving system of the intelligent navigation robot.
关键词
机器学习/智能导览机器人/动态规划Key words
machine learning/intelligent navigation robot/dynamic programming引用本文复制引用
出版年
2024
NETL
NSTL
万方数据