Modeling though Machine Learning in Robotics

摘要：

Artificial systems are becoming more and more complex, However, the incremental design process is leading to so complex artifacts that engineers are more and more addressing a quite different issue of how do I model the observed behavior of my system. Engineers are faced with the same problem as scientists studying natural phenomena. Machine learning techniques are developed for acquiring the behavior models we are seeking. The skills provide different ways of combining these sensory-motor functions to achieve the desired task. The specified skills are assumed to be complementary and to cover different situations. It is independent of the environment and characterizes the abilities of the robot for the task.

关键词： artificial systems robot Machine learning

作者: HE chao WU JunJi WU XiaoChuen

作者单位: Nanjing university of technology and scientist, Nanjing, Jiangsu, China Nanjing Artillery Academy, N Nanjing Artillery Academy, Nanjing, 211132 Nanjing university of technology and scientist, Nanjing, Jiangsu, China

会议类型: 国际会议

会议名称: 第八届国际测试技术研讨会(8th International Symposium on Test and Measurement)

会议地点: 重庆

会议语种:英文

页码: 2851-2854

在线出版日期: 2009-08-01（万方平台首次上网日期，不代表论文的发表时间）