| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 2576480 | International Congress Series | 2007 | 4 Pages |
Abstract
Teaching every action to a mobile robot is generally impossible; hence, an autonomous mobile robot is desired. A crucial issue here is to find a mechanism by which a mobile robot becomes autonomous. A promising approach to this end, we believe, is brain-inspired technologies such as a modular network SOM (mnSOM). We briefly present various research results, focusing as a prototype on a task segmentation of a mobile robot based on sensory and motor signals.
Keywords
Related Topics
Life Sciences
Biochemistry, Genetics and Molecular Biology
Molecular Biology
Authors
Masumi Ishikawa, Kazuo Ishii, Takeshi Yamakawa, Masahiro Nagamatsu, Hideki Nakagawa, Hong Zhang, Tetsuo Furukawa,