In this thesis, we study the development of linguistic concepts (corresponding to a subset of
nouns, verbs and adjectives) on a humanoid robot. To accomplish this goal, we use affordances,
a notion first proposed by J.J. Gibson to describe the action possibilities offered to
an agent by the environment. Using the affordances formalization framework of Sahin et al.,
we have implemented a learning system on a humanoid robot and obtained the required data
from the sensorimotor experiences of the robot. The system we developed (1) can learn verb,
adjective and noun concepts, (2) represent them in terms of strings of prototypes and dependencies
based on affordances, (3) can accurately recognize the concept of novel objects and
events, and (4) can be used for tasks such as goal emulation and multi step planning.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12614385/index.pdf |
| Date | 01 June 2012 |
| Creators | Yuruten, Onur |
| Contributors | Kalkan, Sinan |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for public access |
Page generated in 0.0024 seconds