Name
Title | ||
|---|---|---|
Commonsense knowledge extraction for Tidy-up robotic service in domestic environments |
Abstract | ||
|---|---|---|
Commonsense is one of the keys to enable human-robot communication in daily life scenarios. It is very difficult for a robot to do tasks ordered by a human without having some basic knowledge to understand the human's commands. This paper proposes a method to automatically build commonsense knowledge for the “Tidy-up” service, in which a robot is asked to take objects such as books, cups, dishes on a table to appropriate places automatically. We defined three object classes that are necessary for the service, namely “Washable”-objects that need to be washed, “Reusable”-objects that need to be stored for reuse, and “Trashable”-objects that need to be disposed of. For each object, multiple attributes were extracted from both the ConceptNet knowledge base and the Google search engine, and fed to classifiers to classify the object into the appropriate class. To evaluate the proposed method, output from classifiers were compared with the result from actual human. The result showed that the proposed approach is efficient in classifying objects and in providing object type as commonsense knowledge, hence, helping the robots to understand human intention and to provide intuitive service. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ARSO.2013.6705507 | Advanced Robotics and its Social Impacts |
Keywords | Field | DocType |
common-sense reasoning,human-robot interaction,image classification,knowledge acquisition,robot vision,service robots,ConceptNet knowledge base,Google search engine,commonsense knowledge extraction,daily life scenarios,domestic environments,human-robot communication,object classification,reusable-objects,service robots,tidy-up robotic service,trashable-objects,washable-objects | Commonsense knowledge,Computer vision,Object type,Reuse,Computer science,Commonsense reasoning,Artificial intelligence,Knowledge base,Robot,Human–robot interaction,Knowledge acquisition | Conference |
ISSN | Citations | PageRank |
2162-7568 | 1 | 0.35 |
References | Authors | |
3 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weerachai Skulkittiyut | 1 | 1 | 1.03 |
| Haeyeon Lee | 2 | 5 | 3.66 |
| Trung Ngo Lam | 3 | 2 | 3.16 |
| Quang Tran Minh | 4 | 97 | 22.78 |
| Muhammad Ariff Baharudin | 5 | 4 | 2.13 |
| Takashi Fujioka | 6 | 1 | 0.35 |
| Eiji Kamioka | 7 | 96 | 21.65 |
| Makoto Mizukawa | 8 | 26 | 14.48 |