Title :
PSchema: A developmental schema learning framework for embodied agents
Author :
Sheldon, Michael ; Lee, Mark
Author_Institution :
Dept. of Comput. Sci., Aberystwyth Univ., Aberystwyth, UK
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.
Keywords :
learning (artificial intelligence); manipulators; multi-agent systems; PSchema; Piagetian schema learning; continuous on-line learning; developmental schema learning framework; embodied agents; robot sensory perception; robotic arm; robotic environment; symbolic schema learning; Fires; Robots; Developmental Learning; Embodied Cognition; Grounding of Knowledge and Representations; Language Acquisition;
Conference_Titel :
Development and Learning (ICDL), 2011 IEEE International Conference on
Conference_Location :
Frankfurt am Main
Print_ISBN :
978-1-61284-989-8
DOI :
10.1109/DEVLRN.2011.6037380