Operant Conditioning Model in Autonomous Navigation

摘要：

　　To solve the navigation problem for mobile robots,we present a model based on the operant conditioning mechanism (OCM).8 elements consist of the model,including state set,action set,learning mechanism and system entropy etc.As the core of the model,the learning mechanism is in accordance with operant conditioning principles,which makes agents learn the actions with reward and avoid the actions without reward.We test the models function in several ways and change the simulation platform and environment map.The results in both experiments show that the proposed model is effective.

关键词： operant conditioning model navigation mobile robot bionic learning artificial intelligence

作者: Huang Jing Ruan Xiaogang Xiao Yao Zhang Xiaoping Liu Xiaoyang

作者单位: Institute of Artificial Intelligence and Robotics, BJUT, Beijing, China;Pilot College, BJUT, Beijing Institute of Artificial Intelligence and Robotics, BJUT, Beijing, China

会议类型: 国际会议

会议名称: 2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference(IAEAC 2015)(2015 IEEE先进信息技术,电子与自动化控制国际会议)

会议地点: 重庆

会议语种:英文

页码: 1015-1019

在线出版日期: 2015-12-19（万方平台首次上网日期，不代表论文的发表时间）