一种机器人自主思维方法  

A Robot Independent Thinking

作　　者：邓豪[1] 周一廷 谢从霜 

机构地区：[1]西南科技大学信息工程学院,四川绵阳621010

出　　处：《机械工程师》2015年第3期37-40,共4页Mechanical Engineer

摘　　要：类人智能一直是人工智能和机器人领域的研究重点,如何完善周边信息及对大数据的获取、处理、存储、信息挖掘更是当前研究热点。文中根据人体生物特征,利用多传感器综合对周边环境进行完整,利用数据降维与稀疏学习的技术完成大数据的处理及信息挖掘,并建立一种机器人自主思维模型。进一步提升了机器人的智能性,使之能对实时环境的空间大数据实行处理,并做出自主性反应,具有更强实用性。Humanoid intelligence has been the research priority in the field of artificial intelligence and robotics. Completing circumjacent information, obtaining and processing Big Data, storing and mining Big Data, are currently hot focus. Based on the human body biologic characteristic,this paper collects circumjacent information by using multi-sensor integration,accomplishes Big Data processing and mining by using dimensionality reduction and technology of Sparse Learning,and builds a mental model of independent thinking of robots. It further enhances the intelligence of the robot,so the robot can carry out the processing of the space Big Data in a real-time environment and make voluntary response with more practicability.

关 键 词：生物特征 大数据 机器思维 

分 类 号：TP242.6[自动化与计算机技术—检测技术与自动化装置]