高技术通讯2011，Vol.21Issue(8)：861-866,6.DOI:10.3772/j.issn.1002-0470.2011.08.015
基于PB递归神经网络的陪护机器人多模式交互控制方法
A multimodal interactive control method based on recurrent neural network with parametric bias model for companion robots
摘要
Abstract
A multimodal interactive control method based on the recurrent neural network with parametric bias (RNNPB) model was proposed for the companion robots. Firstly, a multimodal interaction framework, which was composed of the multimodal interaction agent, the interactive recognition agent and the interaction decision agent, was proposed, and then, a PB-based learning algorithm was applied to the interactive process of companion robots to form the multimodal interaction control method based on the RNNPB model. The RNNPB control method can be used to deal with the interactive sates recognition and decision analysis process and generate the patterns of behavior as the output of interaction process to realize the complex mission planning, studying and adapting of companion robots' interaction process. The experimental results showed the effectiveness of the control method.关键词
陪护机器人/PB递归神经网络(RNNPB)/多模式交互Key words
companion robot/recurrent neural network with parametric bias ( RNNPB)/multimodel interaction引用本文复制引用
徐敏,陶永,魏洪兴..基于PB递归神经网络的陪护机器人多模式交互控制方法[J].高技术通讯,2011,21(8):861-866,6.基金项目
863计划(2008 AA040201,2009 AA043901)资助项目. （2008 AA040201,2009 AA043901）
