| dc.contributor.author | Sheldon, Michael | |
| dc.contributor.author | Lee, Mark | |
| dc.date.accessioned | 2011-11-21T11:04:20Z | |
| dc.date.available | 2011-11-21T11:04:20Z | |
| dc.date.issued | 2011-11-21 | |
| dc.identifier.citation | Sheldon , M & Lee , M 2011 , ' PSchema: A developmental schema learning framework for embodied agents ' Paper presented at First IEEE Joint International Conference on Development and Learning, and Epigenetic Robotics 2011. , Frankfurt am Main , Germany , 24/08/11 - 27/08/11 , pp. 421-427 . | en |
| dc.identifier.citation | conference | en |
| dc.identifier.other | PURE: 173789 | |
| dc.identifier.other | dspace: 2160/7698 | |
| dc.identifier.uri | http://hdl.handle.net/2160/7698 | |
| dc.description | Sheldon, M., Lee, M. (2011). PSchema: A developmental schema learning framework for embodied agents. Paper presented at First IEEE Joint International Conference on Development and Learning, and Epigenetic Robotics 2011., Frankfurt am Main, Germany, 421-427. | en |
| dc.description.abstract | In this paper we introduce PSchema, a framework for Piagetian schema learning which allows for the direct use of symbolic schema learning in a robotic environment. We show the benefit of a developmental progression to aid in the learning of the system and introduce a generalisation mechanism which further increases the capabilities of these techniques. Using a robotic arm we demonstrate the system’s ability to learn to touch objects placed in front of it and how it can represent the knowledge gained from this in a manner suitable for continuous on-line learning. We then go on to demonstrate how these mechanisms can be used to provide a framework for the learning of language, grounded in the robot’s sensory perception of the world. | en |
| dc.format.extent | 7 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | en | |
| dc.title | PSchema: A developmental schema learning framework for embodied agents | en |
| dc.type | Text | en |
| dc.type.publicationtype | Conference paper | en |
| dc.contributor.institution | Department of Computer Science | en |
| dc.contributor.institution | Intelligent Robotics Group | en |
| dc.description.status | Peer reviewed | en |