2010 Fiscal Year Final Research Report
Research on Real World Understanding by Robots Based on Multimodal Categorization
| Project/Area Number |
20500179
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
Perception information processing/Intelligent robotics
|
|---|
| Research Institution | The University of Electro-Communications |
|---|
Principal Investigator |
NAGAI Takayuki The University of Electro-Communications, 大学院・情報理工学研究科, 准教授 (40303010)
|
|---|
| Project Period (FY) |
2008 – 2010
|
| Keywords | 知能ロボティクス / 機械学習 / パターン認識 / 人工知能 |
|---|
| Research Abstract |
In this research project, we address the problem of "robot intelligence" from a viewpoint of how robots can truly understand things. Here, we define the "true understanding" as prediction through categories (concepts), which are formed by categorizing past experiments in an unsupervised way. Therefore, the unsupervised multimodal categorization algorithm is required for robots in order to form the basis of understanding. We have developed some multimodal categorization algorithms based on statistical clustering methods and showed the possibility of the truly understanding by robots.
|
