机器人自主感知模型在网络机器人中的应用

基于机器人自主感知模型(RAPM)构建了机器人系统，该系统可通过网络自主感知获得动态网络信息，实时建立路径，使机器人完成超出其视野范围的任务．机器人自主感知模型具有很强的扩展能力和合理的构架，突破了以往移动机器人仅使用自身传感器或使用网络固定传感器的局限，对提高基于Internet的机器人智能及其行为能力有重要意义．实验结果证明了机器人自主感知模型的可行性和有效性．

Application of Robot Autonomous Perception Model to Internet-based Robot

This paper implements the robot system based on the Robot Autonomous Perception Model(RAPM) which can get the dynamic information on the Internet through autonomous perception,build the path,and fulfill missions out of the robot view range.RAPM possesses great extension capability and proper framework,and overcomes limitations of the previous robots: only their own sensors or the fixed network sensors are used.RAPM is important in improving the intelligence and behavior ability of Internet-based robots.Experimental results show the feasibility and validity of RAPM.